Pellet Dataset
v7
2024-01-31 9:54pm
Generated on Jan 31, 2024
5 Total Images
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Dataset Split
Train Set 60%
3Images
Valid Set 20%
1Images
Test Set 20%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -45° and +45°
Hue: Between -23° and +23°
Saturation: Between -28% and +28%
Brightness: Between -15% and +15%
Blur: Up to 2.8px
Noise: Up to 0.1% of pixels
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