Dataset Versions
v4
2024-04-15 10:27am
Generated on Apr 15, 2024
6853 Total Images
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Dataset Split
Train Set 89%
6066Images
Valid Set 7%
491Images
Test Set 4%
296Images
Preprocessing
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 22% of images
Hue: Between -19° and +19°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Blur: Up to 0.7px
Noise: Up to 1.32% of pixels