Dataset Versions
v5
2024-08-13 5:07am
Generated on Aug 13, 2024
6076 Total Images
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Dataset Split
Train Set 94%
5726Images
Valid Set 4%
233Images
Test Set 2%
117Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 7
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels