Dataset Versions
v2
2024-06-04 11:33am
Generated on Jun 4, 2024
2335 Total Images
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Dataset Split
Train Set 87%
2040Images
Valid Set 8%
197Images
Test Set 4%
98Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -3% and +3%
Brightness: Between -5% and +5%
Exposure: Between -1% and +1%