Dataset Versions

v2

2023-12-07 1:45pm

Generated on Dec 7, 2023

Dataset Split

Train Set 87%
4434Images
Valid Set 7%
359Images
Test Set 5%
275Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 1.5px
Noise: Up to 4% of pixels
Cutout: 6 boxes with 5% size each

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