Dataset Versions
Versions
v1
2024-05-16 7:22pm
Generated on May 16, 2024
23930 Total Images
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Dataset Split
Train Set 89%
21219Images
Valid Set 6%
1497Images
Test Set 5%
1214Images
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
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels