pose_estimation Computer Vision Dataset
65 Total Images
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Dataset Split
Train Set 88%
57Images
Valid Set 8%
5Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Hue: Between -13° and +13°
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%