Speed Classification Computer Vision Model
69 Total Images
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Dataset Split
Train Set 87%
60Images
Valid Set 9%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels