Dataset Versions
v2
2024-01-20 9:22pm
Generated on Jan 20, 2024
6056 Total Images
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Dataset Split
Train Set 87%
5298Images
Valid Set 8%
505Images
Test Set 4%
253Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 1.09% of pixels
Cutout: 4 boxes with 10% size each