Dataset Versions

v8

2025-01-05 3:04am

Generated on Jan 4, 2025

Dataset Split

Train Set 88%
399Images
Valid Set 8%
36Images
Test Set 5%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Grayscale: Apply to 15% of images
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels

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