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}
}