Dataset Versions
v10
2024-10-22 2:53pm
Generated on Oct 22, 2024
557 Total Images
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Dataset Split
Train Set 88%
489Images
Valid Set 8%
46Images
Test Set 4%
22Images
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
Shear: ±12° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 2.5px
Noise: Up to 0.73% of pixels