Dataset Versions

v4

2024-03-29 9:48am

Generated on Mar 29, 2024

Dataset Split

Train Set 93%
261Images
Valid Set 5%
15Images
Test Set 1%
4Images

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 -20% and +20%
Exposure: Between -8% and +8%

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