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image
imagewidth (px) 300
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End of preview. Expand
in Data Studio
Shagai
Object detection dataset for identifying the shape of shagai (ankle of a sheep).
Checkout our original Github Repo.
Dataset info
Dataset contains total of 921 images with 3680 objects. Each image has exactly 4 objects.
Categories:
- horse
- camel
- sheep
- goat
Splits:
- Training: 644 images, 2573 objects,
{0: 644, 1: 642, 2: 668, 3: 619}(obj. class) - Validation: 277 images, 1107 objects,
{0: 302, 1: 245, 2: 281, 3: 279}(obj. class)
Credits
This dataset was created with contributions from Amarsaikhan Batjargal, Bandikhuu Baasanjav, and Bilguun Ochirbat, students of the National University of Mongolia.
Citation
@misc{shagai2018,
author = {Ochirbat, Bilguun and Batjargal, Amarsaikhan and Baasanjav, Bandikhuu},
title = {{Detect the shape of shagai using RetinaNet}},
howpublished = {\url{https://github.com/bilguun0203/ankle-bone-recognition}},
year = {2018},
month = {July}
}
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