Dataset Versions
v4
2024-05-29 12:46pm
Generated on May 29, 2024
9156 Total Images
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Dataset Split
Train Set 88%
8021Images
Valid Set 8%
756Images
Test Set 4%
379Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x480
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%