Dataset Versions

v2

2024-03-20 12:32pm

Generated on Mar 20, 2024

Dataset Split

Train Set 87%
81Images
Valid Set 9%
8Images
Test Set 4%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 1.92% of pixels

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