Dataset Versions
v4
2024-07-04 2:00pm
Generated on Jul 4, 2024
1536 Total Images
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Dataset Split
Train Set 88%
1344Images
Valid Set 8%
128Images
Test Set 4%
64Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1080x1080
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -12% and +12%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels