Dataset Versions
v1
2023-07-11 11:21pm
Generated on Jul 11, 2023
3107 Total Images
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Dataset Split
Train Set 88%
2724Images
Valid Set 8%
254Images
Test Set 4%
129Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 10% of pixels