Dataset Versions

v5

2024-08-26 4:28pm

Generated on Aug 26, 2024

Dataset Split

Train Set 87%
129Images
Valid Set 9%
14Images
Test Set 4%
6Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Shear: ±9° Horizontal, ±13° Vertical
Blur: Up to 1.1px
Noise: Up to 1.64% of pixels

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