Dataset Versions
v2
2024-11-29 1:47pm
Generated on Nov 29, 2024
2390 Total Images
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Dataset Split
Train Set 87%
2091Images
Valid Set 8%
199Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -40% and +40%
Exposure: Between -19% and +19%
Blur: Up to 2.5px
Noise: Up to 1.09% of pixels
Cutout: 8 boxes with 9% size each