Dataset Versions
v21
Dataset 2
Generated on Nov 19, 2024
2312 Total Images
View All ImagesDataset Split
Train Set 89%
2056Images
Valid Set 6%
129Images
Test Set 5%
127Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 1.4% of pixels