senthilsk/crack_detection_dataset

Dataset Labels

['crack', 'mold', 'peeling_paint', 'stairstep_crack', 'water_seepage']

Number of Images

{'valid': 462, 'test': 225, 'train': 2263}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("senthilsk/crack_detection_dataset", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset/dataset/1

Citation

@misc{ detr_crack_dataset_dataset,
    title = { detr_crack_dataset Dataset },
    type = { Open Source Dataset },
    author = { objectdetection },
    howpublished = { \\url{ https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset } },
    url = { https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2024 },
    month = { jan },
    note = { visited on 2024-01-09 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.com on January 9, 2024 at 4:01 AM GMT

Roboflow is an end-to-end computer vision platform that helps you

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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 2950 images. Cracks-AX10-cracks are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.