Dataset Versions
v4
2024-03-26 9:02pm
Generated on Mar 26, 2024
478 Total Images
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Dataset Split
Train Set 87%
417Images
Valid Set 8%
40Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each