Dataset Versions
v2
2024-06-28 2:15am
Generated on Jun 28, 2024
16606 Total Images
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Dataset Split
Train Set 95%
15801Images
Valid Set 3%
471Images
Test Set 2%
334Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Cutout: 1 boxes with 2% size each