Dataset Versions

v1

2024-04-03 2:41pm

Generated on Apr 3, 2024

Dataset Split

Train Set 82%
72Images
Valid Set 8%
7Images
Test Set 10%
9Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -15% and +15%

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