Dataset Versions
Versions
v1
2023-09-08 9:12pm
Generated on Sep 9, 2023
4547 Total Images
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Dataset Split
Train Set 87%
3974Images
Valid Set 8%
368Images
Test Set 5%
205Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 95% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between 0% and +25%
Exposure: Between -13% and +13%
Noise: Up to 1% of pixels