Datasets:
Tasks:
Object Detection
Size:
n<1K
| task_categories: | |
| - object-detection | |
| tags: | |
| - roboflow | |
| - roboflow2huggingface | |
| - Gaming | |
| <div align="center"> | |
| <img width="640" alt="keremberke/clash-of-clans-object-detection" src="https://huggingface.co/datasets/keremberke/clash-of-clans-object-detection/resolve/main/thumbnail.jpg"> | |
| </div> | |
| ### Dataset Labels | |
| ``` | |
| ['ad', 'airsweeper', 'bombtower', 'canon', 'clancastle', 'eagle', 'inferno', 'kingpad', 'mortar', 'queenpad', 'rcpad', 'scattershot', 'th13', 'wardenpad', 'wizztower', 'xbow'] | |
| ``` | |
| ### Number of Images | |
| ```json | |
| {'train': 88, 'test': 13, 'valid': 24} | |
| ``` | |
| ### 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("keremberke/clash-of-clans-object-detection", name="full") | |
| example = ds['train'][0] | |
| ``` | |
| ### Roboflow Dataset Page | |
| [https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y/dataset/5](https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y/dataset/5?ref=roboflow2huggingface?ref=roboflow2huggingface) | |
| ### Citation | |
| ``` | |
| @misc{ clash-of-clans-vop4y_dataset, | |
| title = { Clash of Clans Dataset }, | |
| type = { Open Source Dataset }, | |
| author = { Find This Base }, | |
| howpublished = { \\url{ https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y } }, | |
| url = { https://universe.roboflow.com/find-this-base/clash-of-clans-vop4y }, | |
| journal = { Roboflow Universe }, | |
| publisher = { Roboflow }, | |
| year = { 2022 }, | |
| month = { feb }, | |
| note = { visited on 2023-01-18 }, | |
| } | |
| ``` | |
| ### License | |
| CC BY 4.0 | |
| ### Dataset Summary | |
| This dataset was exported via roboflow.ai on March 30, 2022 at 4:31 PM GMT | |
| It includes 125 images. | |
| CoC 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 1920x1920 (Fit (black edges)) | |
| No image augmentation techniques were applied. | |