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README.md

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+---
+pretty_name: Innodisk PCB Image Dataset
+license: cc-by-nc-4.0
+tags:
+  - image-classification
+  - pcb
+  - defect-detection
+  - innodisk
+  - small-sample-learning
+configs:
+  - name: default
+    data_files:
+      train:
+        - "train_20_20/*.jpg"
+        - "train_20_20_R/*.jpg"
+        - "train_40_20/*.jpg"
+        - "train_40_20_R/*.jpg"
+        - "train_60_20/*.jpg"
+        - "train_80_20/*.jpg"
+        - "train_100_20/*.jpg"
+      test:
+        - "test/*.jpg"
+        - "test_R/*.jpg"
+        - "test_canny/*.jpg"
+        - "test_R_canny/*.jpg"
+      val:
+        - "val/*.jpg"
+        - "val_R/*.jpg"
+---
+
+# 🚀🔬 Innodisk PCB Image Dataset
+
+The **Innodisk PCB Image Dataset** is a collaboration between **Innodisk Corporation** and Tamkang University.  
+Designed for research on **printed‑circuit‑board (PCB) defect inspection** and **small‑sample learning**. 🧑‍🔧💡
+
+| 📂 Split | 🖼️ Images | 📁 Source directories |
+|----------|-----------|-----------------------|
+| 🏋️‍♂️ Train | **500** | 7 `train_*` dirs |
+| 🧪 Test   | **240** | 4 `test*` dirs |
+| 📝 Val    | **30**  | 2 `val*` dirs |
+
+🎯 *Resolutions vary; the modal size is **188 × 128 px**.*  
+
+🔖 Filenames embed pseudo‑labels: **`pass`** (=acceptable) or **`ng`** (=defective).
+
+---
+
+## 🗂️ Folder layout
+
+```
+Innodisk_PCB_datasets/
+├── train_20_20/      # 🏋️‍♂️
+├── train_20_20_R/
+├── train_40_20/
+├── train_40_20_R/
+├── train_60_20/
+├── train_80_20/
+├── train_100_20/
+├── test/             # 🧪
+├── test_R/
+├── test_canny/
+├── test_R_canny/
+├── val/              # 📝
+└── val_R/
+```
+
+---
+
+## ⚡ Quick start
+
+```python
+from datasets import load_dataset
+
+# 🔄 Load images
+ds_train = load_dataset("evan6007/Innodisk_PCB_datasets", split="train")
+
+# 🏷️  Derive labels from filenames
+def add_label(example):
+    fname = example["image"].filename.lower()
+    example["label"] = 0 if "ng" in fname else 1  # 0 = defective, 1 = acceptable
+    return example
+
+ds_train = ds_train.map(add_label)
+```
+
+---
+
+## 🏭 Image sources & preprocessing
+
+1. 📷 **AOI line cameras** – raw production images (`train_*`, `test*`, `val*`).
+2. ✂️ **ROI versions** (`*_R`) – cropped component regions to reduce background noise.
+3. 🖊️ **Canny edge maps** (`*_canny`) – generated with `cv2.Canny(img, 50, 150)`.
+
+---
+
+## 📜 License
+
+Released under **Creative Commons Attribution‑NonCommercial 4.0** (CC BY‑NC‑4.0).  
+Commercial applications require prior approval from Innodisk Corporation.
+
+---
+
+## 📚 Citation
+
+```bibtex
+@dataset{innodisk_pcb_2025,
+  author = {Innodisk Corporation and Hsiao, Chao-Hsiang},
+  title  = {Innodisk PCB Image Dataset},
+  year   = {2025},
+  url    = {https://huggingface.co/datasets/evan6007/Innodisk_PCB_datasets},
+  note   = {CC BY-NC 4.0}
+}
+```

count_pcb_images.py

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+
+"""
+Count images and summarize resolutions for Innodisk PCB dataset.
+
+Usage:
+    python count_pcb_images.py /path/to/Innodisk_PCB_datasets
+"""
+
+import sys
+from pathlib import Path
+from collections import defaultdict
+from PIL import Image
+
+IMAGE_EXTS = {'.jpg', '.jpeg', '.png', '.bmp', '.tif', '.tiff'}
+
+def scan_dataset(root: Path):
+    splits = defaultdict(list)  # split_name -> list[Path]
+    for p in root.glob('*'):
+        if not p.is_dir():
+            continue
+        name = p.name.lower()
+        if name.startswith('train'):
+            split = 'train'
+        elif name.startswith('test'):
+            split = 'test'
+        elif name.startswith('val'):
+            split = 'val'
+        else:
+            # unknown folder, skip
+            continue
+        for img in p.rglob('*'):
+            if img.suffix.lower() in IMAGE_EXTS:
+                splits[split].append(img)
+    return splits
+
+def summarize(splits):
+    print("\n===== Image Counts =====")
+    for split, files in splits.items():
+        print(f"{split.capitalize():5s}: {len(files):,} images")
+    print("\n===== Resolution Stats =====")
+    for split, files in splits.items():
+        res_counter = defaultdict(int)
+        for img_path in files:
+            try:
+                with Image.open(img_path) as im:
+                    res_counter[im.size] += 1
+            except Exception:
+                continue
+        print(f"\n[{split.capitalize()}]")
+        for (w, h), cnt in sorted(res_counter.items(), key=lambda x: (-x[1], x[0])):
+            print(f"{w}×{h}: {cnt:,}")
+
+if __name__ == "__main__":
+    if len(sys.argv) != 2:
+        print("Usage: python count_pcb_images.py /path/to/Innodisk_PCB_datasets")
+        sys.exit(1)
+    root = Path(sys.argv[1])
+    if not root.exists():
+        print("Path does not exist:", root)
+        sys.exit(1)
+    splits = scan_dataset(root)
+    summarize(splits)