Dataset Versions
v1
2024-06-11 2:02pm
Generated on Jun 11, 2024
880 Total Images
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Dataset Split
Train Set 88%
771Images
Valid Set 8%
73Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Grayscale: Apply to 17% 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 0.4px
Noise: Up to 0.1% of pixels