Dataset Versions

v7

2023-10-15 2:06pm

Generated on Oct 15, 2023

Dataset Split

Train Set 87%
432Images
Valid Set 9%
43Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels

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