elliemci/building_cracks

Dataset Labels

['crack']

Number of Images

{'valid': 477, 'test': 244, 'train': 1673}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

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

Roboflow Dataset Page

https://universe.roboflow.com/crack-7rsjb/crack-detection-ol3yi/dataset/1

Citation

@misc{
                            crack-detection-ol3yi_dataset,
                            title = { crack detection Dataset },
                            type = { Open Source Dataset },
                            author = { crack },
                            howpublished = { \\url{ https://universe.roboflow.com/crack-7rsjb/crack-detection-ol3yi } },
                            url = { https://universe.roboflow.com/crack-7rsjb/crack-detection-ol3yi },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2025-01-31 },
                            }

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.com on October 29, 2022 at 1:20 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 unstructured image data
• annotate, and create datasets
• export, train, and deploy computer vision models
• use active learning to improve your dataset over time

It includes 2394 images. Crack are annotated in COCO format.

The following pre-processing was applied to each image:

• Auto-orientation of pixel data (with EXIF-orientation stripping)
• Resize to 200x200 (Stretch)

No image augmentation techniques were applied.