Dataset Versions
v5
2024-01-02 1:24pm
Generated on Jan 2, 2024
1228 Total Images
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Dataset Split
Train Set 88%
1077Images
Valid Set 8%
100Images
Test Set 4%
51Images
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: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 19% of images
Hue: Between -23° and +23°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Noise: Up to 6% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%