Classification Dataset

v5

ver3

Generated on Aug 28, 2023

Dataset Split

Train Set 72%
299Images
Valid Set 13%
52Images
Test Set 15%
63Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%