| --- |
| task_categories: |
| - object-detection |
| tags: |
| - roboflow |
| - roboflow2huggingface |
|
|
| --- |
| |
| <div align="center"> |
| <img width="640" alt="elliemci/building_cracks" src="https://huggingface.co/datasets/elliemci/building_cracks/resolve/main/thumbnail.jpg"> |
| </div> |
|
|
| ### Dataset Labels |
|
|
| ``` |
| ['crack'] |
| ``` |
|
|
|
|
| ### Number of Images |
|
|
| ```json |
| {'valid': 477, 'test': 244, 'train': 1673} |
| ``` |
|
|
|
|
| ### How to Use |
|
|
| - Install [datasets](https://pypi.org/project/datasets/): |
|
|
| ```bash |
| pip install datasets |
| ``` |
|
|
| - Load the dataset: |
|
|
| ```python |
| 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](https://universe.roboflow.com/crack-7rsjb/crack-detection-ol3yi/dataset/1?ref=roboflow2huggingface) |
|
|
| ### 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. |
|
|
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|
|
