Dataset Versions

v1

2024-05-16 10:49pm

Generated on May 16, 2024

Dataset Split

Train Set 88%
63Images
Valid Set 8%
6Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Grayscale: Apply to 23% of images
Hue: Between -22° and +22°
Saturation: Between -33% and +33%
Exposure: Between -14% and +14%
Blur: Up to 2.2px
Noise: Up to 1.84% of pixels

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