Dataset Versions
v4
2024-11-23 11:07pm
Generated on Nov 23, 2024
23181 Total Images
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Dataset Split
Train Set 87%
20088Images
Valid Set 8%
1942Images
Test Set 5%
1151Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%