Dataset Versions

v9

2024-03-09 10:20am

Generated on Mar 9, 2024

Dataset Split

Train Set 87%
5301Images
Valid Set 8%
508Images
Test Set 4%
270Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Hue: Between -14° and +14°
Blur: Up to 1px
Noise: Up to 1.52% of pixels

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