Dataset Versions
Versions
v1
2024-10-24 1:25am
Generated on Oct 24, 2024
18897 Total Images
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Dataset Split
Train Set 88%
16539Images
Valid Set 8%
1587Images
Test Set 4%
771Images
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, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Brightness: Between -22% and +22%
Exposure: Between -15% and +15%