Dataset Versions
v1
2022-07-26 4:11pm
Generated on Jul 26, 2022
1182 Total Images
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Dataset Split
Train Set 99%
1170Images
Valid Set 1%
8Images
Test Set 0%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -13° and +13°
Shear: ±18° Horizontal, ±12° Vertical
Hue: Between -135° and +135°
Saturation: Between -33% and +33%
Blur: Up to 0.5px
Noise: Up to 3% of pixels