Dataset Versions

v29

2023-11-08 6:40pm

Generated on Nov 8, 2023

Dataset Split

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

Preprocessing

Resize: Fit (black edges) in 2048x2048
Modify Classes: 25 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 100% of images
Hue: Between -50° and +50°
Saturation: Between -26% and +26%
Brightness: Between -23% and +23%
Exposure: Between -19% and +19%
Noise: Up to 10% of pixels
Mosaic: Applied

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