Dataset Versions

v5

p1

Generated on Oct 9, 2024

Dataset Split

Train Set 87%
1104Images
Valid Set 6%
79Images
Test Set 6%
79Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Exposure: Between -7% and +7%
Blur: Up to 2.5px
Noise: Up to 0.69% of pixels

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