Dataset Versions
v2
2023-07-20 10:05pm
Generated on Jul 20, 2023
4661 Total Images
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Dataset Split
Train Set 88%
4080Images
Valid Set 6%
293Images
Test Set 6%
288Images
Preprocessing
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Vertical
Shear: ±2° Horizontal, ±2° Vertical
Hue: Between -25° and +25°
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 5% of pixels