Dataset Versions

v1

2024-04-23 3:28pm

Generated on Apr 23, 2024

Dataset Split

Train Set 95%
939Images
Valid Set 3%
34Images
Test Set 2%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require all images to contain annotations.
Filter by Tag: 0 required, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 50% Minimum Zoom, 70% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -11% and +11%
Noise: Up to 0.04% of pixels

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