Dataset Versions
v4
2024-07-18 2:06pm
Generated on Jul 18, 2024
4490 Total Images
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Dataset Split
Train Set 89%
4005Images
Valid Set 7%
323Images
Test Set 4%
162Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%