Dataset Versions
v1
2023-11-02 11:57am
Generated on Nov 2, 2023
400 Total Images
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Dataset Split
Train Set 92%
369Images
Valid Set 8%
31Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±27° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Cutout: 3 boxes with 17% size each