classifier

fast3

Classification

fast3 Image Dataset

v7

2024-01-15 2:42pm

Generated on Jan 15, 2024

Dataset Split

Train Set 71%
1167Images
Valid Set 29%
475Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Exposure: Between -15% and +15%
Noise: Up to 0.81% of pixels