Dataset Versions
v5
2024-10-21 7:36pm
Generated on Oct 21, 2024
3553 Total Images
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Dataset Split
Train Set 87%
3098Images
Valid Set 9%
308Images
Test Set 4%
147Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1920x1080
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%