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Crack Datasets: Segmentation & Labelling

Datasets of cracks for deep learning. A standarized way to create a public dataset of fish (images -> labelling -> dataset exports). If you want to add more images create an issue.

Models trained by the datasets (weights and demo available)

  • Crackv1: CRACK9001 (INSER MODEL HERE) - Not ready

Datasets

  • All datasets available on: (INSER GD LINK) Link to Google Drive ✔️

Datasets Exports Standardized

Thanks to Roboflow, we can export for different formats:

  • Powered by CVAT (All images original size): JSON (COCO, Datumaro), XML (CVAT Image, CVAT Video, LabelMe, PASCAL VOC), TXT (MOT, YOLO), JPG,PNG (ImageNet, Segmentation Mask), Others (Tensorflow TFRecord).

Choose just one zip file for one model, select the zip file accord to your model or download all the exports on release section

Date Images Classes Download dataset & Code (TR70/VL20/TS10)
2021-01-19 - (Orig) - CRACK9001 ✔️

Downloading and using dataset

Example code to use only with Roboflow notebooks to use the repo and locate correctly.

# Instead of doing:
!curl -L "ROBOFLOW LINK" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip
# Use:
!gdown --id "ID OF THE GOOGLE DRIVE ZIP" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip

Resources [Last Update 2021-01-19]

Keywords to find these datasets: fish, trout

List of datasets found

Date Powered by Author
2021-01-20 Kaggle CRACK0006 - Concrete_crack_detection
2021-01-20 Kaggle CRACK0005 - Crack Segmentation Dataset
2021-01-19 Mendeley CRACK0004 - Concrete Crack Images for Classification
2021-01-19 Kaggle CRACK0003 - Concrete Crack Images for Classification
2021-01-19 Kaggle CRACK0002 - Structural Defects Network (SDNET) 2018
2021-01-19 Kaggle CRACK0001 - Surface Crack Detection

Contributing

There's a guide to help creating this dataset standardized and exported to a multiple standards. Click here

License

This repository is under MIT LICENSE.

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All datasets of crack images

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