metadata
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
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.