Dataset Versions
v2
DatasetV4
Generated on Jan 17, 2024
6419 Total Images
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Dataset Split
Train Set 88%
5631Images
Valid Set 6%
363Images
Test Set 7%
425Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%