Dataset Versions
v2
2023-12-11 1:30am
Generated on Dec 10, 2023
852 Total Images
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Dataset Split
Train Set 87%
744Images
Valid Set 8%
72Images
Test Set 4%
36Images
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: Horizontal
Rotation: Between -45° and +45°
Grayscale: Apply to 25% of images
Brightness: Between -35% and +35%
Blur: Up to 1.25px
Noise: Up to 5% of pixels