Datasets:
Tasks:
Image Segmentation
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image_id
int64 0
322
| image
imagewidth (px) 448
448
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int32 448
448
| height
int32 448
448
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End of preview. Expand
in Data Studio
Dataset Labels
['cracks-and-spalling', 'object']
Number of Images
{'valid': 73, 'test': 37, 'train': 323}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("fcakyon/crack-instance-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/palmdetection-1cjxw/crack_detection_experiment/dataset/5
Citation
@misc{ 400-img_dataset,
title = { 400 img Dataset },
type = { Open Source Dataset },
author = { Master dissertation },
howpublished = { \\url{ https://universe.roboflow.com/master-dissertation/400-img } },
url = { https://universe.roboflow.com/master-dissertation/400-img },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2023-01-14 },
}
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.com on January 14, 2023 at 10:08 AM GMT
Roboflow is an end-to-end computer vision platform that helps you
- collaborate with your team on computer vision projects
- collect & organize images
- understand and search unstructured image data
- annotate, and create datasets
- export, train, and deploy computer vision models
- use active learning to improve your dataset over time
For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
The dataset includes 433 images. Crack-spall are annotated in COCO format.
The following pre-processing was applied to each image:
No image augmentation techniques were applied.
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