Dataset Versions
Versions
v1
Version1
Generated on Jan 12, 2023
8510 Total Images
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Dataset Split
Train Set 87%
7446Images
Valid Set 8%
709Images
Test Set 4%
355Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -10° and +10°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 2% of pixels
Cutout: 3 boxes with 5% size each