Dataset Versions
v7
2022-12-07 12:43pm
Generated on Dec 7, 2022
2900 Total Images
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Dataset Split
Train Set 88%
2550Images
Valid Set 5%
150Images
Test Set 7%
200Images
Preprocessing
Resize: Stretch to 640x640
Modify Classes: 18 remapped, 19 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±34° Horizontal, ±30° Vertical
Hue: Between -20° and +20°
Brightness: Between -33% and +33%
Blur: Up to 2.5px
Noise: Up to 5% of pixels