Dataset Versions

v1

2024-09-12 2:32am

Generated on Sep 12, 2024

Dataset Split

Train Set 87%
153Images
Valid Set 9%
15Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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