app file fix

app.py

@@ -1,85 +1,200 @@
+import gradio as gr
 import torch
 import torchvision.transforms as transforms
 from PIL import Image
-import json
-import gradio as gr
 from torchvision.models import resnet50
-from huggingface_hub import hf_hub_download
-
-def load_model(model_path):
-    model = resnet50(pretrained=False)  # Create an instance of the ResNet-50 model
-    state_dict = torch.load(model_path, map_location='cpu')  # Load the state dictionary
-    model.load_state_dict(state_dict)  # Load the state dictionary
-    model.eval()  # Set the model to evaluation mode
-    return model
-
-
-def preprocess_image(image):
-    preprocess = transforms.Compose([
-        transforms.Resize(256),
-        transforms.CenterCrop(224),
-        transforms.ToTensor(),
-        transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
-    ])
-
-    image = image.convert("RGB")  # Ensure image is in RGB format
-    image = preprocess(image)  # Apply transformations
-    image = image.unsqueeze(0)  # Add batch dimension
-    return image
-
-
-# Prediction function
-def predict(image):
-    image_tensor = preprocess_image(image)
-    with torch.no_grad():
-        output = model(image_tensor)
-        probabilities = torch.nn.functional.softmax(output, dim=1)
-        top5_probabilities, top5_indices = probabilities.topk(5)
-
-    results = {}
-    for i in range(5):
-        class_index = top5_indices[0][i].item()
-        class_label = class_labels.get(str(class_index), "Unknown class")
-        results[class_label] = top5_probabilities[0][i].item()  # Store label and probability in a dictionary
-    print("See the prediction result : ", results)
-    return results  # Return the results as a dictionary
-
-
-# Load class index mapping
-def load_class_labels(label_path):
-    with open(label_path, 'r') as f:
-        class_labels = json.load(f)
-    return class_labels
-
-
-def load_model(model_path):
-    model = resnet50()  # Create an instance of the ResNet-50 model
-    checkpoint = torch.load(model_path, map_location='cpu')  # Load the checkpoint
-
-    # Access the 'model_state_dict' key within the checkpoint
-    state_dict = checkpoint['model_state_dict']
-
-    # Remove "module." prefix if present (common when using DataParallel)
-    if 'module.' in next(iter(state_dict.keys())):
-        state_dict = {k.replace('module.', ''): v for k, v in state_dict.items()}
-
-    model.load_state_dict(state_dict)  # Load the state dictionary
-    model.eval()  # Set the model to evaluation mode
-    return model
-
-model_path = "models/resnet_50.pth"
-label_path = 'classes.json'  # Path to the class index mapping
-model = load_model(model_path)
-class_labels = load_class_labels(label_path)
+import os
+import logging
+from typing import Optional, Union
+import numpy as np
+from pathlib import Path
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Directory Configuration
+BASE_DIR = Path(__file__).resolve().parent
+MODELS_DIR = BASE_DIR / "models"
+EXAMPLES_DIR = BASE_DIR / "examples"
+STATIC_DIR = BASE_DIR / "static" / "uploaded"
+
+# Ensure directories exist
+STATIC_DIR.mkdir(parents=True, exist_ok=True)
+
+# Global variables
+MODEL_PATH = MODELS_DIR / "resnet_50.pth"
+CLASSES_PATH = BASE_DIR / "classes.txt"
+DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+
+def load_class_labels() -> Optional[list]:
+    """
+    Load class labels from the classes.txt file
+    """
+    try:
+        if not CLASSES_PATH.exists():
+            raise FileNotFoundError(f"Classes file not found at {CLASSES_PATH}")
+            
+        with open(CLASSES_PATH, 'r') as f:
+            return [line.strip() for line in f.readlines()]
+    except Exception as e:
+        logger.error(f"Error loading class labels: {str(e)}")
+        return None
+
+# Load class labels
+CLASS_NAMES = load_class_labels()
+if CLASS_NAMES is None:
+    raise RuntimeError("Failed to load class labels from classes.txt")
+
+# Cache the model to avoid reloading for each prediction
+model = None
+
+def load_model() -> Optional[torch.nn.Module]:
+    """
+    Load the ResNet50 model with error handling
+    """
+    global model
+    
+    try:
+        if model is not None:
+            return model
+            
+        if not MODEL_PATH.exists():
+            raise FileNotFoundError(f"Model file not found at {MODEL_PATH}")
+        
+        logger.info(f"Loading model on {DEVICE}")
+        model = resnet50(pretrained=False)
+        model.fc = torch.nn.Linear(model.fc.in_features, len(CLASS_NAMES))
+        
+        # Load the model weights
+        state_dict = torch.load(MODEL_PATH, map_location=DEVICE)
+        
+        if 'state_dict' in state_dict:
+            state_dict = state_dict['state_dict']
+        
+        model.load_state_dict(state_dict)
+        model.to(DEVICE)
+        model.eval()
+        
+        logger.info("Model loaded successfully")
+        return model
+        
+    except Exception as e:
+        logger.error(f"Error loading model: {str(e)}")
+        return None
+
+def preprocess_image(image: Union[np.ndarray, Image.Image]) -> Optional[torch.Tensor]:
+    """
+    Preprocess the input image with error handling
+    """
+    try:
+        if isinstance(image, np.ndarray):
+            image = Image.fromarray(image)
+        
+        transform = transforms.Compose([
+            transforms.Resize((224, 224)),
+            transforms.ToTensor(),
+            transforms.Normalize(
+                mean=[0.485, 0.456, 0.406],
+                std=[0.229, 0.224, 0.225]
+            )
+        ])
+        
+        return transform(image).unsqueeze(0).to(DEVICE)
+        
+    except Exception as e:
+        logger.error(f"Error preprocessing image: {str(e)}")
+        return None
+
+def predict(image: Union[np.ndarray, None]) -> tuple[str, dict]:
+    """
+    Make predictions on the input image with comprehensive error handling
+    Returns the predicted class and top 5 confidence scores
+    """
+    try:
+        if image is None:
+            return "Error: No image provided", {}
+        
+        model = load_model()
+        if model is None:
+            return "Error: Failed to load model", {}
+            
+        # Ensure model is in eval mode
+        model.eval()
+        
+        input_tensor = preprocess_image(image)
+        if input_tensor is None:
+            return "Error: Failed to preprocess image", {}
+            
+        with torch.no_grad():
+            # Move input to same device as model
+            input_tensor = input_tensor.to(DEVICE)
+            output = model(input_tensor)
+            # Apply softmax to get probabilities
+            probabilities = torch.nn.functional.softmax(output[0], dim=0)
+            
+        # Get predictions and confidences
+        top_5_probs, top_5_indices = torch.topk(probabilities, k=5)
+        
+        # Convert to percentages and round to 2 decimal places
+        confidences = {
+            CLASS_NAMES[idx.item()]: float(round(prob.item() * 100, 2))
+            for prob, idx in zip(top_5_probs, top_5_indices)
+        }
+        
+        # Get top prediction
+        predicted_class = CLASS_NAMES[top_5_indices[0].item()]
+        
+        return predicted_class, confidences
+                
+    except Exception as e:
+        logger.error(f"Prediction error: {str(e)}")
+        return f"Error during prediction: {str(e)}", {}
+
+def get_example_list() -> list:
+    """
+    Get list of example images from the examples directory
+    """
+    try:
+        examples = []
+        for ext in ['.jpg', '.jpeg', '.png']:
+            examples.extend(list(EXAMPLES_DIR.glob(f'*{ext}')))
+        return [[str(ex)] for ex in sorted(examples)]
+    except Exception as e:
+        logger.error(f"Error loading examples: {str(e)}")
+        return []
+
+# Create Gradio interface with error handling
+try:
+    iface = gr.Interface(
+        fn=predict,
+        inputs=gr.Image(type="numpy", label="Upload Image"),
+        outputs=[
+            gr.Label(label="Predicted Class", num_top_classes=1),
+            gr.Label(label="Top 5 Predictions", num_top_classes=5)
+        ],
+        title="Image Classification with ResNet50",
+        description=(
+            "Upload an image to classify:\n"
+            "The model will predict the class and show top 5 confidence scores."
+        ),
+        examples=get_example_list(),
+        cache_examples=True,
+        theme=gr.themes.Base()
+    )
+    
+except Exception as e:
+    logger.error(f"Error creating Gradio interface: {str(e)}")
+    raise
 
-# Create Gradio interface
-iface = gr.Interface(
-    fn=predict,
-    inputs=gr.Image(type="pil"),
-    outputs=gr.Label(num_top_classes=5),
-    title="Image Classification using ResNet 50 Model trained on Imagenet 1000 dataset",
-    description="Upload an image to get the top-5 predictions."
-)
-# Launch the app
 if __name__ == "__main__":
-    iface.launch()
+    try:
+        load_model()  # Pre-load the model
+        iface.launch(
+            share=False,
+            server_name="0.0.0.0",
+            server_port=7860,
+            debug=False
+        )
+    except Exception as e:
+        logger.error(f"Error launching application: {str(e)}")

classes.json

@@ -1,1002 +0,0 @@
-{
-    "0": "tench, Tinca tinca",
-    "1": "goldfish, Carassius auratus",
-    "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
-    "3": "tiger shark, Galeocerdo cuvieri",
-    "4": "hammerhead, hammerhead shark",
-    "5": "electric ray, crampfish, numbfish, torpedo",
-    "6": "stingray",
-    "7": "cock",
-    "8": "hen",
-    "9": "ostrich, Struthio camelus",
-    "10": "brambling, Fringilla montifringilla",
-    "11": "goldfinch, Carduelis carduelis",
-    "12": "house finch, linnet, Carpodacus mexicanus",
-    "13": "junco, snowbird",
-    "14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea",
-    "15": "robin, American robin, Turdus migratorius",
-    "16": "bulbul",
-    "17": "jay",
-    "18": "magpie",
-    "19": "chickadee",
-    "20": "water ouzel, dipper",
-    "21": "kite",
-    "22": "bald eagle, American eagle, Haliaeetus leucocephalus",
-    "23": "vulture",
-    "24": "great grey owl, great gray owl, Strix nebulosa",
-    "25": "European fire salamander, Salamandra salamandra",
-    "26": "common newt, Triturus vulgaris",
-    "27": "eft",
-    "28": "spotted salamander, Ambystoma maculatum",
-    "29": "axolotl, mud puppy, Ambystoma mexicanum",
-    "30": "bullfrog, Rana catesbeiana",
-    "31": "tree frog, tree-frog",
-    "32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
-    "33": "loggerhead, loggerhead turtle, Caretta caretta",
-    "34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
-    "35": "mud turtle",
-    "36": "terrapin",
-    "37": "box turtle, box tortoise",
-    "38": "banded gecko",
-    "39": "common iguana, iguana, Iguana iguana",
-    "40": "American chameleon, anole, Anolis carolinensis",
-    "41": "whiptail, whiptail lizard",
-    "42": "agama",
-    "43": "frilled lizard, Chlamydosaurus kingi",
-    "44": "alligator lizard",
-    "45": "Gila monster, Heloderma suspectum",
-    "46": "green lizard, Lacerta viridis",
-    "47": "African chameleon, Chamaeleo chamaeleon",
-    "48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
-    "49": "African crocodile, Nile crocodile, Crocodylus niloticus",
-    "50": "American alligator, Alligator mississipiensis",
-    "51": "triceratops",
-    "52": "thunder snake, worm snake, Carphophis amoenus",
-    "53": "ringneck snake, ring-necked snake, ring snake",
-    "54": "hognose snake, puff adder, sand viper",
-    "55": "green snake, grass snake",
-    "56": "king snake, kingsnake",
-    "57": "garter snake, grass snake",
-    "58": "water snake",
-    "59": "vine snake",
-    "60": "night snake, Hypsiglena torquata",
-    "61": "boa constrictor, Constrictor constrictor",
-    "62": "rock python, rock snake, Python sebae",
-    "63": "Indian cobra, Naja naja",
-    "64": "green mamba",
-    "65": "sea snake",
-    "66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
-    "67": "diamondback, diamondback rattlesnake, Crotalus adamanteus",
-    "68": "sidewinder, horned rattlesnake, Crotalus cerastes",
-    "69": "trilobite",
-    "70": "harvestman, daddy longlegs, Phalangium opilio",
-    "71": "scorpion",
-    "72": "black and gold garden spider, Argiope aurantia",
-    "73": "barn spider, Araneus cavaticus",
-    "74": "garden spider, Aranea diademata",
-    "75": "black widow, Latrodectus mactans",
-    "76": "tarantula",
-    "77": "wolf spider, hunting spider",
-    "78": "tick",
-    "79": "centipede",
-    "80": "black grouse",
-    "81": "ptarmigan",
-    "82": "ruffed grouse, partridge, Bonasa umbellus",
-    "83": "prairie chicken, prairie grouse, prairie fowl",
-    "84": "peacock",
-    "85": "quail",
-    "86": "partridge",
-    "87": "African grey, African gray, Psittacus erithacus",
-    "88": "macaw",
-    "89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
-    "90": "lorikeet",
-    "91": "coucal",
-    "92": "bee eater",
-    "93": "hornbill",
-    "94": "hummingbird",
-    "95": "jacamar",
-    "96": "toucan",
-    "97": "drake",
-    "98": "red-breasted merganser, Mergus serrator",
-    "99": "goose",
-    "100": "black swan, Cygnus atratus",
-    "101": "tusker",
-    "102": "echidna, spiny anteater, anteater",
-    "103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
-    "104": "wallaby, brush kangaroo",
-    "105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
-    "106": "wombat",
-    "107": "jellyfish",
-    "108": "sea anemone, anemone",
-    "109": "brain coral",
-    "110": "flatworm, platyhelminth",
-    "111": "nematode, nematode worm, roundworm",
-    "112": "conch",
-    "113": "snail",
-    "114": "slug",
-    "115": "sea slug, nudibranch",
-    "116": "chiton, coat-of-mail shell, sea cradle, polyplacophore",
-    "117": "chambered nautilus, pearly nautilus, nautilus",
-    "118": "Dungeness crab, Cancer magister",
-    "119": "rock crab, Cancer irroratus",
-    "120": "fiddler crab",
-    "121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
-    "122": "American lobster, Northern lobster, Maine lobster, Homarus americanus",
-    "123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
-    "124": "crayfish, crawfish, crawdad, crawdaddy",
-    "125": "hermit crab",
-    "126": "isopod",
-    "127": "white stork, Ciconia ciconia",
-    "128": "black stork, Ciconia nigra",
-    "129": "spoonbill",
-    "130": "flamingo",
-    "131": "little blue heron, Egretta caerulea",
-    "132": "American egret, great white heron, Egretta albus",
-    "133": "bittern",
-    "134": "crane",
-    "135": "limpkin, Aramus pictus",
-    "136": "European gallinule, Porphyrio porphyrio",
-    "137": "American coot, marsh hen, mud hen, water hen, Fulica americana",
-    "138": "bustard",
-    "139": "ruddy turnstone, Arenaria interpres",
-    "140": "red-backed sandpiper, dunlin, Erolia alpina",
-    "141": "redshank, Tringa totanus",
-    "142": "dowitcher",
-    "143": "oystercatcher, oyster catcher",
-    "144": "pelican",
-    "145": "king penguin, Aptenodytes patagonica",
-    "146": "albatross, mollymawk",
-    "147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
-    "148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
-    "149": "dugong, Dugong dugon",
-    "150": "sea lion",
-    "151": "Chihuahua",
-    "152": "Japanese spaniel",
-    "153": "Maltese dog, Maltese terrier, Maltese",
-    "154": "Pekinese, Pekingese, Peke",
-    "155": "Shih-Tzu",
-    "156": "Blenheim spaniel",
-    "157": "papillon",
-    "158": "toy terrier",
-    "159": "Rhodesian ridgeback",
-    "160": "Afghan hound, Afghan",
-    "161": "basset, basset hound",
-    "162": "beagle",
-    "163": "bloodhound, sleuthhound",
-    "164": "bluetick",
-    "165": "black-and-tan coonhound",
-    "166": "Walker hound, Walker foxhound",
-    "167": "English foxhound",
-    "168": "redbone",
-    "169": "borzoi, Russian wolfhound",
-    "170": "Irish wolfhound",
-    "171": "Italian greyhound",
-    "172": "whippet",
-    "173": "Ibizan hound, Ibizan Podenco",
-    "174": "Norwegian elkhound, elkhound",
-    "175": "otterhound, otter hound",
-    "176": "Saluki, gazelle hound",
-    "177": "Scottish deerhound, deerhound",
-    "178": "Weimaraner",
-    "179": "Staffordshire bullterrier, Staffordshire bull terrier",
-    "180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",
-    "181": "Bedlington terrier",
-    "182": "Border terrier",
-    "183": "Kerry blue terrier",
-    "184": "Irish terrier",
-    "185": "Norfolk terrier",
-    "186": "Norwich terrier",
-    "187": "Yorkshire terrier",
-    "188": "wire-haired fox terrier",
-    "189": "Lakeland terrier",
-    "190": "Sealyham terrier, Sealyham",
-    "191": "Airedale, Airedale terrier",
-    "192": "cairn, cairn terrier",
-    "193": "Australian terrier",
-    "194": "Dandie Dinmont, Dandie Dinmont terrier",
-    "195": "Boston bull, Boston terrier",
-    "196": "miniature schnauzer",
-    "197": "giant schnauzer",
-    "198": "standard schnauzer",
-    "199": "Scotch terrier, Scottish terrier, Scottie",
-    "200": "Tibetan terrier, chrysanthemum dog",
-    "201": "silky terrier, Sydney silky",
-    "202": "soft-coated wheaten terrier",
-    "203": "West Highland white terrier",
-    "204": "Lhasa, Lhasa apso",
-    "205": "flat-coated retriever",
-    "206": "curly-coated retriever",
-    "207": "golden retriever",
-    "208": "Labrador retriever",
-    "209": "Chesapeake Bay retriever",
-    "210": "German short-haired pointer",
-    "211": "vizsla, Hungarian pointer",
-    "212": "English setter",
-    "213": "Irish setter, red setter",
-    "214": "Gordon setter",
-    "215": "Brittany spaniel",
-    "216": "clumber, clumber spaniel",
-    "217": "English springer, English springer spaniel",
-    "218": "Welsh springer spaniel",
-    "219": "cocker spaniel, English cocker spaniel, cocker",
-    "220": "Sussex spaniel",
-    "221": "Irish water spaniel",
-    "222": "kuvasz",
-    "223": "schipperke",
-    "224": "groenendael",
-    "225": "malinois",
-    "226": "briard",
-    "227": "kelpie",
-    "228": "komondor",
-    "229": "Old English sheepdog, bobtail",
-    "230": "Shetland sheepdog, Shetland sheep dog, Shetland",
-    "231": "collie",
-    "232": "Border collie",
-    "233": "Bouvier des Flandres, Bouviers des Flandres",
-    "234": "Rottweiler",
-    "235": "German shepherd, German shepherd dog, German police dog, alsatian",
-    "236": "Doberman, Doberman pinscher",
-    "237": "miniature pinscher",
-    "238": "Greater Swiss Mountain dog",
-    "239": "Bernese mountain dog",
-    "240": "Appenzeller",
-    "241": "EntleBucher",
-    "242": "boxer",
-    "243": "bull mastiff",
-    "244": "Tibetan mastiff",
-    "245": "French bulldog",
-    "246": "Great Dane",
-    "247": "Saint Bernard, St Bernard",
-    "248": "Eskimo dog, husky",
-    "249": "malamute, malemute, Alaskan malamute",
-    "250": "Siberian husky",
-    "251": "dalmatian, coach dog, carriage dog",
-    "252": "affenpinscher, monkey pinscher, monkey dog",
-    "253": "basenji",
-    "254": "pug, pug-dog",
-    "255": "Leonberg",
-    "256": "Newfoundland, Newfoundland dog",
-    "257": "Great Pyrenees",
-    "258": "Samoyed, Samoyede",
-    "259": "Pomeranian",
-    "260": "chow, chow chow",
-    "261": "keeshond",
-    "262": "Brabancon griffon",
-    "263": "Pembroke, Pembroke Welsh corgi",
-    "264": "Cardigan, Cardigan Welsh corgi",
-    "265": "toy poodle",
-    "266": "miniature poodle",
-    "267": "standard poodle",
-    "268": "Mexican hairless",
-    "269": "timber wolf, grey wolf, gray wolf, Canis lupus",
-    "270": "white wolf, Arctic wolf, Canis lupus tundrarum",
-    "271": "red wolf, maned wolf, Canis rufus, Canis niger",
-    "272": "coyote, prairie wolf, brush wolf, Canis latrans",
-    "273": "dingo, warrigal, warragal, Canis dingo",
-    "274": "dhole, Cuon alpinus",
-    "275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",
-    "276": "hyena, hyaena",
-    "277": "red fox, Vulpes vulpes",
-    "278": "kit fox, Vulpes macrotis",
-    "279": "Arctic fox, white fox, Alopex lagopus",
-    "280": "grey fox, gray fox, Urocyon cinereoargenteus",
-    "281": "tabby, tabby cat",
-    "282": "tiger cat",
-    "283": "Persian cat",
-    "284": "Siamese cat, Siamese",
-    "285": "Egyptian cat",
-    "286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",
-    "287": "lynx, catamount",
-    "288": "leopard, Panthera pardus",
-    "289": "snow leopard, ounce, Panthera uncia",
-    "290": "jaguar, panther, Panthera onca, Felis onca",
-    "291": "lion, king of beasts, Panthera leo",
-    "292": "tiger, Panthera tigris",
-    "293": "cheetah, chetah, Acinonyx jubatus",
-    "294": "brown bear, bruin, Ursus arctos",
-    "295": "American black bear, black bear, Ursus americanus, Euarctos americanus",
-    "296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",
-    "297": "sloth bear, Melursus ursinus, Ursus ursinus",
-    "298": "mongoose",
-    "299": "meerkat, mierkat",
-    "300": "tiger beetle",
-    "301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
-    "302": "ground beetle, carabid beetle",
-    "303": "long-horned beetle, longicorn, longicorn beetle",
-    "304": "leaf beetle, chrysomelid",
-    "305": "dung beetle",
-    "306": "rhinoceros beetle",
-    "307": "weevil",
-    "308": "fly",
-    "309": "bee",
-    "310": "ant, emmet, pismire",
-    "311": "grasshopper, hopper",
-    "312": "cricket",
-    "313": "walking stick, walkingstick, stick insect",
-    "314": "cockroach, roach",
-    "315": "mantis, mantid",
-    "316": "cicada, cicala",
-    "317": "leafhopper",
-    "318": "lacewing, lacewing fly",
-    "319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
-    "320": "damselfly",
-    "321": "admiral",
-    "322": "ringlet, ringlet butterfly",
-    "323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",
-    "324": "cabbage butterfly",
-    "325": "sulphur butterfly, sulfur butterfly",
-    "326": "lycaenid, lycaenid butterfly",
-    "327": "starfish, sea star",
-    "328": "sea urchin",
-    "329": "sea cucumber, holothurian",
-    "330": "wood rabbit, cottontail, cottontail rabbit",
-    "331": "hare",
-    "332": "Angora, Angora rabbit",
-    "333": "hamster",
-    "334": "porcupine, hedgehog",
-    "335": "fox squirrel, eastern fox squirrel, Sciurus niger",
-    "336": "marmot",
-    "337": "beaver",
-    "338": "guinea pig, Cavia cobaya",
-    "339": "sorrel",
-    "340": "zebra",
-    "341": "hog, pig, grunter, squealer, Sus scrofa",
-    "342": "wild boar, boar, Sus scrofa",
-    "343": "warthog",
-    "344": "hippopotamus, hippo, river horse, Hippopotamus amphibius",
-    "345": "ox",
-    "346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",
-    "347": "bison",
-    "348": "ram, tup",
-    "349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",
-    "350": "ibex, Capra ibex",
-    "351": "hartebeest",
-    "352": "impala, Aepyceros melampus",
-    "353": "gazelle",
-    "354": "Arabian camel, dromedary, Camelus dromedarius",
-    "355": "llama",
-    "356": "weasel",
-    "357": "mink",
-    "358": "polecat, fitch, foulmart, foumart, Mustela putorius",
-    "359": "black-footed ferret, ferret, Mustela nigripes",
-    "360": "otter",
-    "361": "skunk, polecat, wood pussy",
-    "362": "badger",
-    "363": "armadillo",
-    "364": "three-toed sloth, ai, Bradypus tridactylus",
-    "365": "orangutan, orang, orangutang, Pongo pygmaeus",
-    "366": "gorilla, Gorilla gorilla",
-    "367": "chimpanzee, chimp, Pan troglodytes",
-    "368": "gibbon, Hylobates lar",
-    "369": "siamang, Hylobates syndactylus, Symphalangus syndactylus",
-    "370": "guenon, guenon monkey",
-    "371": "patas, hussar monkey, Erythrocebus patas",
-    "372": "baboon",
-    "373": "macaque",
-    "374": "langur",
-    "375": "colobus, colobus monkey",
-    "376": "proboscis monkey, Nasalis larvatus",
-    "377": "marmoset",
-    "378": "capuchin, ringtail, Cebus capucinus",
-    "379": "howler monkey, howler",
-    "380": "titi, titi monkey",
-    "381": "spider monkey, Ateles geoffroyi",
-    "382": "squirrel monkey, Saimiri sciureus",
-    "383": "Madagascar cat, ring-tailed lemur, Lemur catta",
-    "384": "indri, indris, Indri indri, Indri brevicaudatus",
-    "385": "Indian elephant, Elephas maximus",
-    "386": "African elephant, Loxodonta africana",
-    "387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",
-    "388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",
-    "389": "barracouta, snoek",
-    "390": "eel",
-    "391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",
-    "392": "rock beauty, Holocanthus tricolor",
-    "393": "anemone fish",
-    "394": "sturgeon",
-    "395": "gar, garfish, garpike, billfish, Lepisosteus osseus",
-    "396": "lionfish",
-    "397": "puffer, pufferfish, blowfish, globefish",
-    "398": "abacus",
-    "399": "abaya",
-    "400": "academic gown, academic robe, judge's robe",
-    "401": "accordion, piano accordion, squeeze box",
-    "402": "acoustic guitar",
-    "403": "aircraft carrier, carrier, flattop, attack aircraft carrier",
-    "404": "airliner",
-    "405": "airship, dirigible",
-    "406": "altar",
-    "407": "ambulance",
-    "408": "amphibian, amphibious vehicle",
-    "409": "analog clock",
-    "410": "apiary, bee house",
-    "411": "apron",
-    "412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
-    "413": "assault rifle, assault gun",
-    "414": "backpack, back pack, knapsack, packsack, rucksack, haversack",
-    "415": "bakery, bakeshop, bakehouse",
-    "416": "balance beam, beam",
-    "417": "balloon",
-    "418": "ballpoint, ballpoint pen, ballpen, Biro",
-    "419": "Band Aid",
-    "420": "banjo",
-    "421": "bannister, banister, balustrade, balusters, handrail",
-    "422": "barbell",
-    "423": "barber chair",
-    "424": "barbershop",
-    "425": "barn",
-    "426": "barometer",
-    "427": "barrel, cask",
-    "428": "barrow, garden cart, lawn cart, wheelbarrow",
-    "429": "baseball",
-    "430": "basketball",
-    "431": "bassinet",
-    "432": "bassoon",
-    "433": "bathing cap, swimming cap",
-    "434": "bath towel",
-    "435": "bathtub, bathing tub, bath, tub",
-    "436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
-    "437": "beacon, lighthouse, beacon light, pharos",
-    "438": "beaker",
-    "439": "bearskin, busby, shako",
-    "440": "beer bottle",
-    "441": "beer glass",
-    "442": "bell cote, bell cot",
-    "443": "bib",
-    "444": "bicycle-built-for-two, tandem bicycle, tandem",
-    "445": "bikini, two-piece",
-    "446": "binder, ring-binder",
-    "447": "binoculars, field glasses, opera glasses",
-    "448": "birdhouse",
-    "449": "boathouse",
-    "450": "bobsled, bobsleigh, bob",
-    "451": "bolo tie, bolo, bola tie, bola",
-    "452": "bonnet, poke bonnet",
-    "453": "bookcase",
-    "454": "bookshop, bookstore, bookstall",
-    "455": "bottlecap",
-    "456": "bow",
-    "457": "bow tie, bow-tie, bowtie",
-    "458": "brass, memorial tablet, plaque",
-    "459": "brassiere, bra, bandeau",
-    "460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty",
-    "461": "breastplate, aegis, egis",
-    "462": "broom",
-    "463": "bucket, pail",
-    "464": "buckle",
-    "465": "bulletproof vest",
-    "466": "bullet train, bullet",
-    "467": "butcher shop, meat market",
-    "468": "cab, hack, taxi, taxicab",
-    "469": "caldron, cauldron",
-    "470": "candle, taper, wax light",
-    "471": "cannon",
-    "472": "canoe",
-    "473": "can opener, tin opener",
-    "474": "cardigan",
-    "475": "car mirror",
-    "476": "carousel, carrousel, merry-go-round, roundabout, whirligig",
-    "477": "carpenter's kit, tool kit",
-    "478": "carton",
-    "479": "car wheel",
-    "480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",
-    "481": "cassette",
-    "482": "cassette player",
-    "483": "castle",
-    "484": "catamaran",
-    "485": "CD player",
-    "486": "cello, violoncello",
-    "487": "cellular telephone, cellular phone, cellphone, cell, mobile phone",
-    "488": "chain",
-    "489": "chainlink fence",
-    "490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
-    "491": "chain saw, chainsaw",
-    "492": "chest",
-    "493": "chiffonier, commode",
-    "494": "chime, bell, gong",
-    "495": "china cabinet, china closet",
-    "496": "Christmas stocking",
-    "497": "church, church building",
-    "498": "cinema, movie theater, movie theatre, movie house, picture palace",
-    "499": "cleaver, meat cleaver, chopper",
-    "500": "cliff dwelling",
-    "501": "cloak",
-    "502": "clog, geta, patten, sabot",
-    "503": "cocktail shaker",
-    "504": "coffee mug",
-    "505": "coffeepot",
-    "506": "coil, spiral, volute, whorl, helix",
-    "507": "combination lock",
-    "508": "computer keyboard, keypad",
-    "509": "confectionery, confectionary, candy store",
-    "510": "container ship, containership, container vessel",
-    "511": "convertible",
-    "512": "corkscrew, bottle screw",
-    "513": "cornet, horn, trumpet, trump",
-    "514": "cowboy boot",
-    "515": "cowboy hat, ten-gallon hat",
-    "516": "cradle",
-    "517": "crane",
-    "518": "crash helmet",
-    "519": "crate",
-    "520": "crib, cot",
-    "521": "Crock Pot",
-    "522": "croquet ball",
-    "523": "crutch",
-    "524": "cuirass",
-    "525": "dam, dike, dyke",
-    "526": "desk",
-    "527": "desktop computer",
-    "528": "dial telephone, dial phone",
-    "529": "diaper, nappy, napkin",
-    "530": "digital clock",
-    "531": "digital watch",
-    "532": "dining table, board",
-    "533": "dishrag, dishcloth",
-    "534": "dishwasher, dish washer, dishwashing machine",
-    "535": "disk brake, disc brake",
-    "536": "dock, dockage, docking facility",
-    "537": "dogsled, dog sled, dog sleigh",
-    "538": "dome",
-    "539": "doormat, welcome mat",
-    "540": "drilling platform, offshore rig",
-    "541": "drum, membranophone, tympan",
-    "542": "drumstick",
-    "543": "dumbbell",
-    "544": "Dutch oven",
-    "545": "electric fan, blower",
-    "546": "electric guitar",
-    "547": "electric locomotive",
-    "548": "entertainment center",
-    "549": "envelope",
-    "550": "espresso maker",
-    "551": "face powder",
-    "552": "feather boa, boa",
-    "553": "file, file cabinet, filing cabinet",
-    "554": "fireboat",
-    "555": "fire engine, fire truck",
-    "556": "fire screen, fireguard",
-    "557": "flagpole, flagstaff",
-    "558": "flute, transverse flute",
-    "559": "folding chair",
-    "560": "football helmet",
-    "561": "forklift",
-    "562": "fountain",
-    "563": "fountain pen",
-    "564": "four-poster",
-    "565": "freight car",
-    "566": "French horn, horn",
-    "567": "frying pan, frypan, skillet",
-    "568": "fur coat",
-    "569": "garbage truck, dustcart",
-    "570": "gasmask, respirator, gas helmet",
-    "571": "gas pump, gasoline pump, petrol pump, island dispenser",
-    "572": "goblet",
-    "573": "go-kart",
-    "574": "golf ball",
-    "575": "golfcart, golf cart",
-    "576": "gondola",
-    "577": "gong, tam-tam",
-    "578": "gown",
-    "579": "grand piano, grand",
-    "580": "greenhouse, nursery, glasshouse",
-    "581": "grille, radiator grille",
-    "582": "grocery store, grocery, food market, market",
-    "583": "guillotine",
-    "584": "hair slide",
-    "585": "hair spray",
-    "586": "half track",
-    "587": "hammer",
-    "588": "hamper",
-    "589": "hand blower, blow dryer, blow drier, hair dryer, hair drier",
-    "590": "hand-held computer, hand-held microcomputer",
-    "591": "handkerchief, hankie, hanky, hankey",
-    "592": "hard disc, hard disk, fixed disk",
-    "593": "harmonica, mouth organ, harp, mouth harp",
-    "594": "harp",
-    "595": "harvester, reaper",
-    "596": "hatchet",
-    "597": "holster",
-    "598": "home theater, home theatre",
-    "599": "honeycomb",
-    "600": "hook, claw",
-    "601": "hoopskirt, crinoline",
-    "602": "horizontal bar, high bar",
-    "603": "horse cart, horse-cart",
-    "604": "hourglass",
-    "605": "iPod",
-    "606": "iron, smoothing iron",
-    "607": "jack-o'-lantern",
-    "608": "jean, blue jean, denim",
-    "609": "jeep, landrover",
-    "610": "jersey, T-shirt, tee shirt",
-    "611": "jigsaw puzzle",
-    "612": "jinrikisha, ricksha, rickshaw",
-    "613": "joystick",
-    "614": "kimono",
-    "615": "knee pad",
-    "616": "knot",
-    "617": "lab coat, laboratory coat",
-    "618": "ladle",
-    "619": "lampshade, lamp shade",
-    "620": "laptop, laptop computer",
-    "621": "lawn mower, mower",
-    "622": "lens cap, lens cover",
-    "623": "letter opener, paper knife, paperknife",
-    "624": "library",
-    "625": "lifeboat",
-    "626": "lighter, light, igniter, ignitor",
-    "627": "limousine, limo",
-    "628": "liner, ocean liner",
-    "629": "lipstick, lip rouge",
-    "630": "Loafer",
-    "631": "lotion",
-    "632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
-    "633": "loupe, jeweler's loupe",
-    "634": "lumbermill, sawmill",
-    "635": "magnetic compass",
-    "636": "mailbag, postbag",
-    "637": "mailbox, letter box",
-    "638": "maillot",
-    "639": "maillot, tank suit",
-    "640": "manhole cover",
-    "641": "maraca",
-    "642": "marimba, xylophone",
-    "643": "mask",
-    "644": "matchstick",
-    "645": "maypole",
-    "646": "maze, labyrinth",
-    "647": "measuring cup",
-    "648": "medicine chest, medicine cabinet",
-    "649": "megalith, megalithic structure",
-    "650": "microphone, mike",
-    "651": "microwave, microwave oven",
-    "652": "military uniform",
-    "653": "milk can",
-    "654": "minibus",
-    "655": "miniskirt, mini",
-    "656": "minivan",
-    "657": "missile",
-    "658": "mitten",
-    "659": "mixing bowl",
-    "660": "mobile home, manufactured home",
-    "661": "Model T",
-    "662": "modem",
-    "663": "monastery",
-    "664": "monitor",
-    "665": "moped",
-    "666": "mortar",
-    "667": "mortarboard",
-    "668": "mosque",
-    "669": "mosquito net",
-    "670": "motor scooter, scooter",
-    "671": "mountain bike, all-terrain bike, off-roader",
-    "672": "mountain tent",
-    "673": "mouse, computer mouse",
-    "674": "mousetrap",
-    "675": "moving van",
-    "676": "muzzle",
-    "677": "nail",
-    "678": "neck brace",
-    "679": "necklace",
-    "680": "nipple",
-    "681": "notebook, notebook computer",
-    "682": "obelisk",
-    "683": "oboe, hautboy, hautbois",
-    "684": "ocarina, sweet potato",
-    "685": "odometer, hodometer, mileometer, milometer",
-    "686": "oil filter",
-    "687": "organ, pipe organ",
-    "688": "oscilloscope, scope, cathode-ray oscilloscope, CRO",
-    "689": "overskirt",
-    "690": "oxcart",
-    "691": "oxygen mask",
-    "692": "packet",
-    "693": "paddle, boat paddle",
-    "694": "paddlewheel, paddle wheel",
-    "695": "padlock",
-    "696": "paintbrush",
-    "697": "pajama, pyjama, pj's, jammies",
-    "698": "palace",
-    "699": "panpipe, pandean pipe, syrinx",
-    "700": "paper towel",
-    "701": "parachute, chute",
-    "702": "parallel bars, bars",
-    "703": "park bench",
-    "704": "parking meter",
-    "705": "passenger car, coach, carriage",
-    "706": "patio, terrace",
-    "707": "pay-phone, pay-station",
-    "708": "pedestal, plinth, footstall",
-    "709": "pencil box, pencil case",
-    "710": "pencil sharpener",
-    "711": "perfume, essence",
-    "712": "Petri dish",
-    "713": "photocopier",
-    "714": "pick, plectrum, plectron",
-    "715": "pickelhaube",
-    "716": "picket fence, paling",
-    "717": "pickup, pickup truck",
-    "718": "pier",
-    "719": "piggy bank, penny bank",
-    "720": "pill bottle",
-    "721": "pillow",
-    "722": "ping-pong ball",
-    "723": "pinwheel",
-    "724": "pirate, pirate ship",
-    "725": "pitcher, ewer",
-    "726": "plane, carpenter's plane, woodworking plane",
-    "727": "planetarium",
-    "728": "plastic bag",
-    "729": "plate rack",
-    "730": "plow, plough",
-    "731": "plunger, plumber's helper",
-    "732": "Polaroid camera, Polaroid Land camera",
-    "733": "pole",
-    "734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",
-    "735": "poncho",
-    "736": "pool table, billiard table, snooker table",
-    "737": "pop bottle, soda bottle",
-    "738": "pot, flowerpot",
-    "739": "potter's wheel",
-    "740": "power drill",
-    "741": "prayer rug, prayer mat",
-    "742": "printer",
-    "743": "prison, prison house",
-    "744": "projectile, missile",
-    "745": "projector",
-    "746": "puck, hockey puck",
-    "747": "punching bag, punch bag, punching ball, punchball",
-    "748": "purse",
-    "749": "quill, quill pen",
-    "750": "quilt, comforter, comfort, puff",
-    "751": "racer, race car, racing car",
-    "752": "racket, racquet",
-    "753": "radiator",
-    "754": "radio, wireless",
-    "755": "radio telescope, radio reflector",
-    "756": "rain barrel",
-    "757": "recreational vehicle, RV, R.V.",
-    "758": "reel",
-    "759": "reflex camera",
-    "760": "refrigerator, icebox",
-    "761": "remote control, remote",
-    "762": "restaurant, eating house, eating place, eatery",
-    "763": "revolver, six-gun, six-shooter",
-    "764": "rifle",
-    "765": "rocking chair, rocker",
-    "766": "rotisserie",
-    "767": "rubber eraser, rubber, pencil eraser",
-    "768": "rugby ball",
-    "769": "rule, ruler",
-    "770": "running shoe",
-    "771": "safe",
-    "772": "safety pin",
-    "773": "saltshaker, salt shaker",
-    "774": "sandal",
-    "775": "sarong",
-    "776": "sax, saxophone",
-    "777": "scabbard",
-    "778": "scale, weighing machine",
-    "779": "school bus",
-    "780": "schooner",
-    "781": "scoreboard",
-    "782": "screen, CRT screen",
-    "783": "screw",
-    "784": "screwdriver",
-    "785": "seat belt, seatbelt",
-    "786": "sewing machine",
-    "787": "shield, buckler",
-    "788": "shoe shop, shoe-shop, shoe store",
-    "789": "shoji",
-    "790": "shopping basket",
-    "791": "shopping cart",
-    "792": "shovel",
-    "793": "shower cap",
-    "794": "shower curtain",
-    "795": "ski",
-    "796": "ski mask",
-    "797": "sleeping bag",
-    "798": "slide rule, slipstick",
-    "799": "sliding door",
-    "800": "slot, one-armed bandit",
-    "801": "snorkel",
-    "802": "snowmobile",
-    "803": "snowplow, snowplough",
-    "804": "soap dispenser",
-    "805": "soccer ball",
-    "806": "sock",
-    "807": "solar dish, solar collector, solar furnace",
-    "808": "sombrero",
-    "809": "soup bowl",
-    "810": "space bar",
-    "811": "space heater",
-    "812": "space shuttle",
-    "813": "spatula",
-    "814": "speedboat",
-    "815": "spider web, spider's web",
-    "816": "spindle",
-    "817": "sports car, sport car",
-    "818": "spotlight, spot",
-    "819": "stage",
-    "820": "steam locomotive",
-    "821": "steel arch bridge",
-    "822": "steel drum",
-    "823": "stethoscope",
-    "824": "stole",
-    "825": "stone wall",
-    "826": "stopwatch, stop watch",
-    "827": "stove",
-    "828": "strainer",
-    "829": "streetcar, tram, tramcar, trolley, trolley car",
-    "830": "stretcher",
-    "831": "studio couch, day bed",
-    "832": "stupa, tope",
-    "833": "submarine, pigboat, sub, U-boat",
-    "834": "suit, suit of clothes",
-    "835": "sundial",
-    "836": "sunglass",
-    "837": "sunglasses, dark glasses, shades",
-    "838": "sunscreen, sunblock, sun blocker",
-    "839": "suspension bridge",
-    "840": "swab, swob, mop",
-    "841": "sweatshirt",
-    "842": "swimming trunks, bathing trunks",
-    "843": "swing",
-    "844": "switch, electric switch, electrical switch",
-    "845": "syringe",
-    "846": "table lamp",
-    "847": "tank, army tank, armored combat vehicle, armoured combat vehicle",
-    "848": "tape player",
-    "849": "teapot",
-    "850": "teddy, teddy bear",
-    "851": "television, television system",
-    "852": "tennis ball",
-    "853": "thatch, thatched roof",
-    "854": "theater curtain, theatre curtain",
-    "855": "thimble",
-    "856": "thresher, thrasher, threshing machine",
-    "857": "throne",
-    "858": "tile roof",
-    "859": "toaster",
-    "860": "tobacco shop, tobacconist shop, tobacconist",
-    "861": "toilet seat",
-    "862": "torch",
-    "863": "totem pole",
-    "864": "tow truck, tow car, wrecker",
-    "865": "toyshop",
-    "866": "tractor",
-    "867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
-    "868": "tray",
-    "869": "trench coat",
-    "870": "tricycle, trike, velocipede",
-    "871": "trimaran",
-    "872": "tripod",
-    "873": "triumphal arch",
-    "874": "trolleybus, trolley coach, trackless trolley",
-    "875": "trombone",
-    "876": "tub, vat",
-    "877": "turnstile",
-    "878": "typewriter keyboard",
-    "879": "umbrella",
-    "880": "unicycle, monocycle",
-    "881": "upright, upright piano",
-    "882": "vacuum, vacuum cleaner",
-    "883": "vase",
-    "884": "vault",
-    "885": "velvet",
-    "886": "vending machine",
-    "887": "vestment",
-    "888": "viaduct",
-    "889": "violin, fiddle",
-    "890": "volleyball",
-    "891": "waffle iron",
-    "892": "wall clock",
-    "893": "wallet, billfold, notecase, pocketbook",
-    "894": "wardrobe, closet, press",
-    "895": "warplane, military plane",
-    "896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin",
-    "897": "washer, automatic washer, washing machine",
-    "898": "water bottle",
-    "899": "water jug",
-    "900": "water tower",
-    "901": "whiskey jug",
-    "902": "whistle",
-    "903": "wig",
-    "904": "window screen",
-    "905": "window shade",
-    "906": "Windsor tie",
-    "907": "wine bottle",
-    "908": "wing",
-    "909": "wok",
-    "910": "wooden spoon",
-    "911": "wool, woolen, woollen",
-    "912": "worm fence, snake fence, snake-rail fence, Virginia fence",
-    "913": "wreck",
-    "914": "yawl",
-    "915": "yurt",
-    "916": "web site, website, internet site, site",
-    "917": "comic book",
-    "918": "crossword puzzle, crossword",
-    "919": "street sign",
-    "920": "traffic light, traffic signal, stoplight",
-    "921": "book jacket, dust cover, dust jacket, dust wrapper",
-    "922": "menu",
-    "923": "plate",
-    "924": "guacamole",
-    "925": "consomme",
-    "926": "hot pot, hotpot",
-    "927": "trifle",
-    "928": "ice cream, icecream",
-    "929": "ice lolly, lolly, lollipop, popsicle",
-    "930": "French loaf",
-    "931": "bagel, beigel",
-    "932": "pretzel",
-    "933": "cheeseburger",
-    "934": "hotdog, hot dog, red hot",
-    "935": "mashed potato",
-    "936": "head cabbage",
-    "937": "broccoli",
-    "938": "cauliflower",
-    "939": "zucchini, courgette",
-    "940": "spaghetti squash",
-    "941": "acorn squash",
-    "942": "butternut squash",
-    "943": "cucumber, cuke",
-    "944": "artichoke, globe artichoke",
-    "945": "bell pepper",
-    "946": "cardoon",
-    "947": "mushroom",
-    "948": "Granny Smith",
-    "949": "strawberry",
-    "950": "orange",
-    "951": "lemon",
-    "952": "fig",
-    "953": "pineapple, ananas",
-    "954": "banana",
-    "955": "jackfruit, jak, jack",
-    "956": "custard apple",
-    "957": "pomegranate",
-    "958": "hay",
-    "959": "carbonara",
-    "960": "chocolate sauce, chocolate syrup",
-    "961": "dough",
-    "962": "meat loaf, meatloaf",
-    "963": "pizza, pizza pie",
-    "964": "potpie",
-    "965": "burrito",
-    "966": "red wine",
-    "967": "espresso",
-    "968": "cup",
-    "969": "eggnog",
-    "970": "alp",
-    "971": "bubble",
-    "972": "cliff, drop, drop-off",
-    "973": "coral reef",
-    "974": "geyser",
-    "975": "lakeside, lakeshore",
-    "976": "promontory, headland, head, foreland",
-    "977": "sandbar, sand bar",
-    "978": "seashore, coast, seacoast, sea-coast",
-    "979": "valley, vale",
-    "980": "volcano",
-    "981": "ballplayer, baseball player",
-    "982": "groom, bridegroom",
-    "983": "scuba diver",
-    "984": "rapeseed",
-    "985": "daisy",
-    "986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
-    "987": "corn",
-    "988": "acorn",
-    "989": "hip, rose hip, rosehip",
-    "990": "buckeye, horse chestnut, conker",
-    "991": "coral fungus",
-    "992": "agaric",
-    "993": "gyromitra",
-    "994": "stinkhorn, carrion fungus",
-    "995": "earthstar",
-    "996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",
-    "997": "bolete",
-    "998": "ear, spike, capitulum",
-    "999": "toilet tissue, toilet paper, bathroom tissue"
-}

classes.txt

@@ -0,0 +1,1000 @@
+tench
+goldfish
+great_white_shark
+tiger_shark
+hammerhead
+electric_ray
+stingray
+cock
+hen
+ostrich
+brambling
+goldfinch
+house_finch
+junco
+indigo_bunting
+robin
+bulbul
+jay
+magpie
+chickadee
+water_ouzel
+kite
+bald_eagle
+vulture
+great_grey_owl
+European_fire_salamander
+common_newt
+eft
+spotted_salamander
+axolotl
+bullfrog
+tree_frog
+tailed_frog
+loggerhead
+leatherback_turtle
+mud_turtle
+terrapin
+box_turtle
+banded_gecko
+common_iguana
+American_chameleon
+whiptail
+agama
+frilled_lizard
+alligator_lizard
+Gila_monster
+green_lizard
+African_chameleon
+Komodo_dragon
+African_crocodile
+American_alligator
+triceratops
+thunder_snake
+ringneck_snake
+hognose_snake
+green_snake
+king_snake
+garter_snake
+water_snake
+vine_snake
+night_snake
+boa_constrictor
+rock_python
+Indian_cobra
+green_mamba
+sea_snake
+horned_viper
+diamondback
+sidewinder
+trilobite
+harvestman
+scorpion
+black_and_gold_garden_spider
+barn_spider
+garden_spider
+black_widow
+tarantula
+wolf_spider
+tick
+centipede
+black_grouse
+ptarmigan
+ruffed_grouse
+prairie_chicken
+peacock
+quail
+partridge
+African_grey
+macaw
+sulphur-crested_cockatoo
+lorikeet
+coucal
+bee_eater
+hornbill
+hummingbird
+jacamar
+toucan
+drake
+red-breasted_merganser
+goose
+black_swan
+tusker
+echidna
+platypus
+wallaby
+koala
+wombat
+jellyfish
+sea_anemone
+brain_coral
+flatworm
+nematode
+conch
+snail
+slug
+sea_slug
+chiton
+chambered_nautilus
+Dungeness_crab
+rock_crab
+fiddler_crab
+king_crab
+American_lobster
+spiny_lobster
+crayfish
+hermit_crab
+isopod
+white_stork
+black_stork
+spoonbill
+flamingo
+little_blue_heron
+American_egret
+bittern
+crane
+limpkin
+European_gallinule
+American_coot
+bustard
+ruddy_turnstone
+red-backed_sandpiper
+redshank
+dowitcher
+oystercatcher
+pelican
+king_penguin
+albatross
+grey_whale
+killer_whale
+dugong
+sea_lion
+Chihuahua
+Japanese_spaniel
+Maltese_dog
+Pekinese
+Shih-Tzu
+Blenheim_spaniel
+papillon
+toy_terrier
+Rhodesian_ridgeback
+Afghan_hound
+basset
+beagle
+bloodhound
+bluetick
+black-and-tan_coonhound
+Walker_hound
+English_foxhound
+redbone
+borzoi
+Irish_wolfhound
+Italian_greyhound
+whippet
+Ibizan_hound
+Norwegian_elkhound
+otterhound
+Saluki
+Scottish_deerhound
+Weimaraner
+Staffordshire_bullterrier
+American_Staffordshire_terrier
+Bedlington_terrier
+Border_terrier
+Kerry_blue_terrier
+Irish_terrier
+Norfolk_terrier
+Norwich_terrier
+Yorkshire_terrier
+wire-haired_fox_terrier
+Lakeland_terrier
+Sealyham_terrier
+Airedale
+cairn
+Australian_terrier
+Dandie_Dinmont
+Boston_bull
+miniature_schnauzer
+giant_schnauzer
+standard_schnauzer
+Scotch_terrier
+Tibetan_terrier
+silky_terrier
+soft-coated_wheaten_terrier
+West_Highland_white_terrier
+Lhasa
+flat-coated_retriever
+curly-coated_retriever
+golden_retriever
+Labrador_retriever
+Chesapeake_Bay_retriever
+German_short-haired_pointer
+vizsla
+English_setter
+Irish_setter
+Gordon_setter
+Brittany_spaniel
+clumber
+English_springer
+Welsh_springer_spaniel
+cocker_spaniel
+Sussex_spaniel
+Irish_water_spaniel
+kuvasz
+schipperke
+groenendael
+malinois
+briard
+kelpie
+komondor
+Old_English_sheepdog
+Shetland_sheepdog
+collie
+Border_collie
+Bouvier_des_Flandres
+Rottweiler
+German_shepherd
+Doberman
+miniature_pinscher
+Greater_Swiss_Mountain_dog
+Bernese_mountain_dog
+Appenzeller
+EntleBucher
+boxer
+bull_mastiff
+Tibetan_mastiff
+French_bulldog
+Great_Dane
+Saint_Bernard
+Eskimo_dog
+malamute
+Siberian_husky
+dalmatian
+affenpinscher
+basenji
+pug
+Leonberg
+Newfoundland
+Great_Pyrenees
+Samoyed
+Pomeranian
+chow
+keeshond
+Brabancon_griffon
+Pembroke
+Cardigan
+toy_poodle
+miniature_poodle
+standard_poodle
+Mexican_hairless
+timber_wolf
+white_wolf
+red_wolf
+coyote
+dingo
+dhole
+African_hunting_dog
+hyena
+red_fox
+kit_fox
+Arctic_fox
+grey_fox
+tabby
+tiger_cat
+Persian_cat
+Siamese_cat
+Egyptian_cat
+cougar
+lynx
+leopard
+snow_leopard
+jaguar
+lion
+tiger
+cheetah
+brown_bear
+American_black_bear
+ice_bear
+sloth_bear
+mongoose
+meerkat
+tiger_beetle
+ladybug
+ground_beetle
+long-horned_beetle
+leaf_beetle
+dung_beetle
+rhinoceros_beetle
+weevil
+fly
+bee
+ant
+grasshopper
+cricket
+walking_stick
+cockroach
+mantis
+cicada
+leafhopper
+lacewing
+dragonfly
+damselfly
+admiral
+ringlet
+monarch
+cabbage_butterfly
+sulphur_butterfly
+lycaenid
+starfish
+sea_urchin
+sea_cucumber
+wood_rabbit
+hare
+Angora
+hamster
+porcupine
+fox_squirrel
+marmot
+beaver
+guinea_pig
+sorrel
+zebra
+hog
+wild_boar
+warthog
+hippopotamus
+ox
+water_buffalo
+bison
+ram
+bighorn
+ibex
+hartebeest
+impala
+gazelle
+Arabian_camel
+llama
+weasel
+mink
+polecat
+black-footed_ferret
+otter
+skunk
+badger
+armadillo
+three-toed_sloth
+orangutan
+gorilla
+chimpanzee
+gibbon
+siamang
+guenon
+patas
+baboon
+macaque
+langur
+colobus
+proboscis_monkey
+marmoset
+capuchin
+howler_monkey
+titi
+spider_monkey
+squirrel_monkey
+Madagascar_cat
+indri
+Indian_elephant
+African_elephant
+lesser_panda
+giant_panda
+barracouta
+eel
+coho
+rock_beauty
+anemone_fish
+sturgeon
+gar
+lionfish
+puffer
+abacus
+abaya
+academic_gown
+accordion
+acoustic_guitar
+aircraft_carrier
+airliner
+airship
+altar
+ambulance
+amphibian
+analog_clock
+apiary
+apron
+ashcan
+assault_rifle
+backpack
+bakery
+balance_beam
+balloon
+ballpoint
+Band_Aid
+banjo
+bannister
+barbell
+barber_chair
+barbershop
+barn
+barometer
+barrel
+barrow
+baseball
+basketball
+bassinet
+bassoon
+bathing_cap
+bath_towel
+bathtub
+beach_wagon
+beacon
+beaker
+bearskin
+beer_bottle
+beer_glass
+bell_cote
+bib
+bicycle-built-for-two
+bikini
+binder
+binoculars
+birdhouse
+boathouse
+bobsled
+bolo_tie
+bonnet
+bookcase
+bookshop
+bottlecap
+bow
+bow_tie
+brass
+brassiere
+breakwater
+breastplate
+broom
+bucket
+buckle
+bulletproof_vest
+bullet_train
+butcher_shop
+cab
+caldron
+candle
+cannon
+canoe
+can_opener
+cardigan
+car_mirror
+carousel
+carpenters_kit
+carton
+car_wheel
+cash_machine
+cassette
+cassette_player
+castle
+catamaran
+CD_player
+cello
+cellular_telephone
+chain
+chainlink_fence
+chain_mail
+chain_saw
+chest
+chiffonier
+chime
+china_cabinet
+Christmas_stocking
+church
+cinema
+cleaver
+cliff_dwelling
+cloak
+clog
+cocktail_shaker
+coffee_mug
+coffeepot
+coil
+combination_lock
+computer_keyboard
+confectionery
+container_ship
+convertible
+corkscrew
+cornet
+cowboy_boot
+cowboy_hat
+cradle
+crane
+crash_helmet
+crate
+crib
+Crock_Pot
+croquet_ball
+crutch
+cuirass
+dam
+desk
+desktop_computer
+dial_telephone
+diaper
+digital_clock
+digital_watch
+dining_table
+dishrag
+dishwasher
+disk_brake
+dock
+dogsled
+dome
+doormat
+drilling_platform
+drum
+drumstick
+dumbbell
+Dutch_oven
+electric_fan
+electric_guitar
+electric_locomotive
+entertainment_center
+envelope
+espresso_maker
+face_powder
+feather_boa
+file
+fireboat
+fire_engine
+fire_screen
+flagpole
+flute
+folding_chair
+football_helmet
+forklift
+fountain
+fountain_pen
+four-poster
+freight_car
+French_horn
+frying_pan
+fur_coat
+garbage_truck
+gasmask
+gas_pump
+goblet
+go-kart
+golf_ball
+golfcart
+gondola
+gong
+gown
+grand_piano
+greenhouse
+grille
+grocery_store
+guillotine
+hair_slide
+hair_spray
+half_track
+hammer
+hamper
+hand_blower
+hand-held_computer
+handkerchief
+hard_disc
+harmonica
+harp
+harvester
+hatchet
+holster
+home_theater
+honeycomb
+hook
+hoopskirt
+horizontal_bar
+horse_cart
+hourglass
+iPod
+iron
+jack-o-lantern
+jean
+jeep
+jersey
+jigsaw_puzzle
+jinrikisha
+joystick
+kimono
+knee_pad
+knot
+lab_coat
+ladle
+lampshade
+laptop
+lawn_mower
+lens_cap
+letter_opener
+library
+lifeboat
+lighter
+limousine
+liner
+lipstick
+Loafer
+lotion
+loudspeaker
+loupe
+lumbermill
+magnetic_compass
+mailbag
+mailbox
+maillot
+maillot
+manhole_cover
+maraca
+marimba
+mask
+matchstick
+maypole
+maze
+measuring_cup
+medicine_chest
+megalith
+microphone
+microwave
+military_uniform
+milk_can
+minibus
+miniskirt
+minivan
+missile
+mitten
+mixing_bowl
+mobile_home
+Model_T
+modem
+monastery
+monitor
+moped
+mortar
+mortarboard
+mosque
+mosquito_net
+motor_scooter
+mountain_bike
+mountain_tent
+mouse
+mousetrap
+moving_van
+muzzle
+nail
+neck_brace
+necklace
+nipple
+notebook
+obelisk
+oboe
+ocarina
+odometer
+oil_filter
+organ
+oscilloscope
+overskirt
+oxcart
+oxygen_mask
+packet
+paddle
+paddlewheel
+padlock
+paintbrush
+pajama
+palace
+panpipe
+paper_towel
+parachute
+parallel_bars
+park_bench
+parking_meter
+passenger_car
+patio
+pay-phone
+pedestal
+pencil_box
+pencil_sharpener
+perfume
+Petri_dish
+photocopier
+pick
+pickelhaube
+picket_fence
+pickup
+pier
+piggy_bank
+pill_bottle
+pillow
+ping-pong_ball
+pinwheel
+pirate
+pitcher
+plane
+planetarium
+plastic_bag
+plate_rack
+plow
+plunger
+Polaroid_camera
+pole
+police_van
+poncho
+pool_table
+pop_bottle
+pot
+potters_wheel
+power_drill
+prayer_rug
+printer
+prison
+projectile
+projector
+puck
+punching_bag
+purse
+quill
+quilt
+racer
+racket
+radiator
+radio
+radio_telescope
+rain_barrel
+recreational_vehicle
+reel
+reflex_camera
+refrigerator
+remote_control
+restaurant
+revolver
+rifle
+rocking_chair
+rotisserie
+rubber_eraser
+rugby_ball
+rule
+running_shoe
+safe
+safety_pin
+saltshaker
+sandal
+sarong
+sax
+scabbard
+scale
+school_bus
+schooner
+scoreboard
+screen
+screw
+screwdriver
+seat_belt
+sewing_machine
+shield
+shoe_shop
+shoji
+shopping_basket
+shopping_cart
+shovel
+shower_cap
+shower_curtain
+ski
+ski_mask
+sleeping_bag
+slide_rule
+sliding_door
+slot
+snorkel
+snowmobile
+snowplow
+soap_dispenser
+soccer_ball
+sock
+solar_dish
+sombrero
+soup_bowl
+space_bar
+space_heater
+space_shuttle
+spatula
+speedboat
+spider_web
+spindle
+sports_car
+spotlight
+stage
+steam_locomotive
+steel_arch_bridge
+steel_drum
+stethoscope
+stole
+stone_wall
+stopwatch
+stove
+strainer
+streetcar
+stretcher
+studio_couch
+stupa
+submarine
+suit
+sundial
+sunglass
+sunglasses
+sunscreen
+suspension_bridge
+swab
+sweatshirt
+swimming_trunks
+swing
+switch
+syringe
+table_lamp
+tank
+tape_player
+teapot
+teddy
+television
+tennis_ball
+thatch
+theater_curtain
+thimble
+thresher
+throne
+tile_roof
+toaster
+tobacco_shop
+toilet_seat
+torch
+totem_pole
+tow_truck
+toyshop
+tractor
+trailer_truck
+tray
+trench_coat
+tricycle
+trimaran
+tripod
+triumphal_arch
+trolleybus
+trombone
+tub
+turnstile
+typewriter_keyboard
+umbrella
+unicycle
+upright
+vacuum
+vase
+vault
+velvet
+vending_machine
+vestment
+viaduct
+violin
+volleyball
+waffle_iron
+wall_clock
+wallet
+wardrobe
+warplane
+washbasin
+washer
+water_bottle
+water_jug
+water_tower
+whiskey_jug
+whistle
+wig
+window_screen
+window_shade
+Windsor_tie
+wine_bottle
+wing
+wok
+wooden_spoon
+wool
+worm_fence
+wreck
+yawl
+yurt
+web_site
+comic_book
+crossword_puzzle
+street_sign
+traffic_light
+book_jacket
+menu
+plate
+guacamole
+consomme
+hot_pot
+trifle
+ice_cream
+ice_lolly
+French_loaf
+bagel
+pretzel
+cheeseburger
+hotdog
+mashed_potato
+head_cabbage
+broccoli
+cauliflower
+zucchini
+spaghetti_squash
+acorn_squash
+butternut_squash
+cucumber
+artichoke
+bell_pepper
+cardoon
+mushroom
+Granny_Smith
+strawberry
+orange
+lemon
+fig
+pineapple
+banana
+jackfruit
+custard_apple
+pomegranate
+hay
+carbonara
+chocolate_sauce
+dough
+meat_loaf
+pizza
+potpie
+burrito
+red_wine
+espresso
+cup
+eggnog
+alp
+bubble
+cliff
+coral_reef
+geyser
+lakeside
+promontory
+sandbar
+seashore
+valley
+volcano
+ballplayer
+groom
+scuba_diver
+rapeseed
+daisy
+yellow_ladys_slipper
+corn
+acorn
+hip
+buckeye
+coral_fungus
+agaric
+gyromitra
+stinkhorn
+earthstar
+hen-of-the-woods
+bolete
+ear
+toilet_tissue