Dataset Versions
v4
2024-03-25 2:10pm
Generated on Mar 25, 2024
3517 Total Images
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Dataset Split
Train Set 88%
3090Images
Valid Set 8%
287Images
Test Set 4%
140Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 360x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%