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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- object-detection |
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tags: |
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- shagai |
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size_categories: |
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- n<1K |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: objects |
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struct: |
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- name: bbox |
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sequence: |
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sequence: int64 |
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- name: categories |
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sequence: int64 |
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splits: |
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- name: train |
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num_bytes: 4647508.0 |
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num_examples: 644 |
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- name: validation |
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num_bytes: 2000239.0 |
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num_examples: 277 |
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download_size: 6398185 |
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dataset_size: 6647747.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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--- |
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# Shagai |
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Object detection dataset for identifying the shape of [shagai](https://en.wikipedia.org/wiki/Shagai) (ankle of a sheep). |
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Checkout our original [Github Repo](https://github.com/bilguun0203/ankle-bone-recognition). |
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## Dataset info |
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Dataset contains total of 921 images with 3680 objects. Each image has exactly 4 objects. |
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**Categories:** |
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- horse |
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- camel |
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- sheep |
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- goat |
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**Splits:** |
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- Training: 644 images, 2573 objects, `{0: 644, 1: 642, 2: 668, 3: 619}` (obj. class) |
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- Validation: 277 images, 1107 objects, `{0: 302, 1: 245, 2: 281, 3: 279}` (obj. class) |
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## Credits |
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This dataset was created with contributions from Amarsaikhan Batjargal, Bandikhuu Baasanjav, and Bilguun Ochirbat, students of the National University of Mongolia. |
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### Citation |
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```bibtex |
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@misc{shagai2018, |
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author = {Ochirbat, Bilguun and Batjargal, Amarsaikhan and Baasanjav, Bandikhuu}, |
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title = {{Detect the shape of shagai using RetinaNet}}, |
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howpublished = {\url{https://github.com/bilguun0203/ankle-bone-recognition}}, |
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year = {2018}, |
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month = {July} |
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} |
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``` |
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