Datasets:
|
Download README.md from geforcefan/dartscribe: direct link, hf CLI and curl.
- Browser
- Download file 844 Bytes
-
https://huggingface.co/datasets/geforcefan/dartscribe/resolve/main/README.md
- Command line
-
hf download hf://datasets/geforcefan/dartscribe/README.md
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curl -L -o README.md https://huggingface.co/datasets/geforcefan/dartscribe/resolve/main/README.md
844 Bytes
| license: cc-by-sa-4.0 | |
| pretty_name: dartscribe | |
| task_categories: | |
| - object-detection | |
| - image-classification | |
| tags: | |
| - darts | |
| - dartboard | |
| # dartscribe data | |
| Training data of [dartscribe](https://github.com/geforcefan/dartscribe). Every image has the 81 board points of the dartboard | |
| (bull and 80 crossings) in pixels. Recorded and labelled by Ercan Akyürek. | |
| ``` | |
| boards/<id>/device-0.jpg a photo of a dartboard | |
| boards/<id>/data.yaml board sizes, camera resolution, the 81 points | |
| throws/<session>/<group>/ | |
| throw-0-device-<i>.jpg empty board, three cameras | |
| throw-<n>-device-<i>.jpg board after dart n | |
| takeout-<k>-device-<i>.jpg frames while the darts are pulled | |
| data.yaml board sizes, the 81 points per camera, the darts (segment, multiplier, board position) | |
| ``` | |