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Download README.md from cheesecz/shelf-segmentation-train: direct link, hf CLI and curl.
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https://huggingface.co/datasets/cheesecz/shelf-segmentation-train/resolve/main/README.md
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582 Bytes
| annotations_creators: | |
| - manual | |
| language: | |
| - en | |
| license: mit | |
| multilinguality: | |
| - monolingual | |
| source_datasets: | |
| - roboflow | |
| task_categories: | |
| - image-segmentation | |
| pretty_name: Custom YOLO Dataset | |
| # Custom YOLO Dataset | |
| This dataset is formatted for YOLO-based instance segmentation. It includes images and annotations for training, validation, and testing. | |
| ## Dataset structure | |
| - `train/images`, `valid/images`, `test/images`: JPEG image files | |
| - `train/labels`, `valid/labels`, `test/labels`: YOLO-format `.txt` annotations | |
| - `data.yaml`: defines class names and split locations |