Horse-10
Introduced by Mathis et al. in Pretraining boosts out-of-domain robustness for pose estimation
Horse-10 is an animal pose estimation dataset. It comprises 30 diverse Thoroughbred horses, for which 22 body parts were labeled by an expert in 8,114 frames (animal pose estimation). Horses have various coat colors and the “in-the-wild” aspect of the collected data at various Thoroughbred yearling sales and farms added additional complexity. The authors introduce Horse-C to contrast the domain shift inherent in the Horse-10 dataset with domain shift induced by common image corruptions.
Benchmarks
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Horse-10
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DeepLabCut-EfficientNet-B6
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Papers
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