Dataset Versions

v9

2024-03-05 3:06pm

Generated on Mar 5, 2024

Dataset Split

Train Set 95%
825Images
Valid Set 3%
30Images
Test Set 1%
10Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±13° Vertical
Grayscale: Apply to 14% of images
Hue: Between -15° and +15°