Dataset Versions
v2
2024-11-06 1:14pm
Generated on Nov 6, 2024
4690 Total Images
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Dataset Split
Train Set 87%
4101Images
Valid Set 8%
393Images
Test Set 4%
196Images
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px