Dataset Versions
v2
2024-03-28 3:46pm
Generated on Mar 28, 2024
1198 Total Images
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Dataset Split
Train Set 95%
1137Images
Valid Set 3%
40Images
Test Set 2%
21Images
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°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.26% of pixels