Dataset Versions
v6
2024-01-09 10:09am
Generated on Jan 9, 2024
506 Total Images
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Dataset Split
Train Set 88%
444Images
Valid Set 7%
36Images
Test Set 5%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Brightness: Between -30% and +30%