medicine-authenticity-classification Dataset

v2

2023-01-18 9:06pm

Generated on Jan 18, 2023

Dataset Split

Train Set 87%
536Images
Valid Set 8%
51Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 200x200
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%