Dataset Versions

v3

2023-12-08 6:24pm

Generated on Dec 8, 2023

Dataset Split

Train Set 86%
591Images
Valid Set 9%
60Images
Test Set 6%
40Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 15% Minimum Zoom, 45% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±24° Horizontal, ±28° Vertical
Exposure: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 3% of pixels
Cutout: 5 boxes with 15% size each

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