Dataset Versions
Versions
v1
2024-05-13 11:10am
Generated on May 13, 2024
58 Total Images
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Dataset Split
Train Set 88%
51Images
Valid Set 9%
5Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -20° and +20°
Saturation: Between -32% and +32%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Noise: Up to 0.1% of pixels
Cutout: 5 boxes with 3% size each