classification project Dataset

v4

2024-06-01 10:52pm

Generated on Jun 1, 2024

Dataset Split

Train Set 90%
27Images
Valid Set 7%
2Images
Test Set 3%
1Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-65% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 1000x1000
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Noise: Up to 0.97% of pixels