table_tennis Computer Vision Model
59 Total Images
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Dataset Split
Train Set 86%
51Images
Valid Set 9%
5Images
Test Set 5%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±18° Horizontal, ±17° Vertical
Brightness: Between -42% and +42%
Noise: Up to 8% of pixels