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How to participate in the Horse-10 benchmark?

More infomation and nice pictures can be found at the horse-10 site!

  1. download the data and unzip:

THe data is available from: https://huggingface.co/datasets/mwmathis/Horse-30

tar -xvf horse10.tar.xz
  1. Train your model for the three splits!

The downloaded data is in DeepLabCut format with information regarding the splits stored in "/training-datasets/iteration-0/UnaugmentedDataSet_HorsesMay8".

  1. Evaluate each split. To normalize the different horse sizes, we normalize to the nose-eye distance for each horse. Here is some example code as well as the relevant distances are stored in this file.

References

For more details check out the paper: Pretraining boosts out-of-domain robustness for pose estimation published in the IEEE Winter Conference on Applications of Computer Vision 2021.