Dataset Versions

v33

2023-11-18 3:18am

Generated on Nov 18, 2023

Dataset Split

Train Set 87%
792Images
Valid Set 8%
75Images
Test Set 5%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 25 remapped, 24 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -50° and +50°
Saturation: Between -26% and +26%
Brightness: Between -23% and +23%
Exposure: Between -19% and +19%
Blur: Up to 1px
Noise: Up to 10% of pixels

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