Dataset Versions
v2
2024-05-19 6:53pm
Generated on May 19, 2024
309 Total Images
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Dataset Split
Train Set 87%
270Images
Valid Set 8%
26Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Blur: Up to 1.3px
Noise: Up to 1.01% of pixels