Dataset Versions

v2

2023-12-20 6:40am

Generated on Dec 19, 2023

Dataset Split

Train Set 87%
255Images
Valid Set 9%
25Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels

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