Dataset Versions

v1

2024-03-24 12:14am

Generated on Mar 23, 2024

Dataset Split

Train Set 87%
897Images
Valid Set 4%
43Images
Test Set 8%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom

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