Human Pose4 Computer Vision Dataset
415 Total Images
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Dataset Split
Train Set 84%
351Images
Valid Set 11%
44Images
Test Set 5%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.4px
Noise: Up to 1.76% of pixels