Dataset Versions

v9

2024-03-23 6:37pm

Generated on Mar 23, 2024

Dataset Split

Train Set 94%
917Images
Valid Set 4%
36Images
Test Set 2%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 7
Flip: Horizontal
Shear: ±9° Horizontal, ±13° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.65% of pixels