Dataset Versions
v1
2024-09-29 9:58am
Generated on Sep 29, 2024
7355 Total Images
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Dataset Split
Train Set 82%
6012Images
Valid Set 12%
873Images
Test Set 6%
470Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 2
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%