Versions
v3
2025-05-06 9:00am
Generated on May 6, 2025
1711 Total Images
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Dataset Split
Train Set 93%
1583Images
Valid Set 6%
95Images
Test Set 2%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -5% and +5%
Exposure: Between -3% and +3%
Blur: Up to 1.2px
Noise: Up to 1.21% of pixels
Cutout: 13 boxes with 2% size each