Dataset Versions
v3
2024-05-08 10:54am
Generated on May 8, 2024
764 Total Images
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Dataset Split
Train Set 82%
624Images
Valid Set 9%
70Images
Test Set 9%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±13° Vertical
Hue: Between -21° and +21°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1.53% of pixels