Dataset Versions
v4
2023-02-10 11:03pm
Generated on Feb 10, 2023
310 Total Images
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Dataset Split
Train Set 92%
285Images
Valid Set 5%
15Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -35° and +35°
Shear: ±24° Horizontal, ±12° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels