Dataset Versions

v13

2024-05-10 4:33pm

Generated on May 10, 2024

Dataset Split

Train Set 80%
791Images
Valid Set 3%
30Images
Test Set 17%
172Images

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
Saturation: Between -19% and +19%
Brightness: Between -8% and +8%
Exposure: Between -5% and +5%

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