Dataset Versions
v8
2024-11-27 12:27am
Generated on Nov 26, 2024
282 Total Images
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Dataset Split
Train Set 95%
267Images
Valid Set 4%
10Images
Test Set 2%
5Images
Preprocessing
Auto-Orient: Applied
Static Crop: 7-95% Horizontal Region, 23-87% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%