Dataset Versions
v2
2023-09-01 8:12pm
Generated on Sep 1, 2023
4307 Total Images
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Dataset Split
Train Set 88%
3774Images
Valid Set 8%
361Images
Test Set 4%
172Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Noise: Up to 2% of pixels
Mosaic: Applied