Dataset Versions
v1
2024-04-01 3:55pm
Generated on Apr 1, 2024
5219 Total Images
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Dataset Split
Train Set 95%
4977Images
Valid Set 3%
148Images
Test Set 2%
94Images
Preprocessing
Auto-Orient: Applied
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 15% of images
Hue: Between -22° and +22°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Blur: Up to 1.3px
Noise: Up to 1.68% of pixels