Dataset Versions
Versions
v1
2024-01-19 11:30pm
Generated on Jan 19, 2024
3446 Total Images
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Dataset Split
Train Set 88%
3024Images
Valid Set 8%
278Images
Test Set 4%
144Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -6° and +6°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -3% and +3%
Blur: Up to 0.2px
Noise: Up to 0.1% of pixels