Dataset Versions
Versions
v4
2024-07-02 7:21am
Generated on Jul 2, 2024
7456 Total Images
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Dataset Split
Train Set 99%
7356Images
Valid Set %
0Images
Test Set 1%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1024x768
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require at least 95% of images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal
Shear: ±7° Horizontal, ±7° Vertical
Exposure: Between -9% and +9%
Noise: Up to 1.76% of pixels
Cutout: 5 boxes with 5% size each