Dataset Versions

v3

2024-05-28 1:16pm

Generated on May 28, 2024

Dataset Split

Train Set 88%
14142Images
Valid Set 8%
1322Images
Test Set 4%
694Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 23% of images
Saturation: Between -50% and +50%
Brightness: Between -34% and +34%
Noise: Up to 0.22% of pixels

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