Dataset Versions
v1
2023-02-09 11:23am
Generated on Feb 9, 2023
68 Total Images
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Dataset Split
Train Set 88%
60Images
Valid Set 7%
5Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -42% and +0%
Exposure: Between -15% and +15%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels