Dataset Versions

v1

2024-04-02 8:01pm

Generated on Apr 2, 2024

Dataset Split

Train Set 80%
9894Images
Valid Set 0%
28Images
Test Set 20%
2498Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 6-92% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Grayscale: Apply to 15% of images
Blur: Up to 0px
Noise: Up to 0.1% of pixels

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