Dataset Versions

v1

2023-03-28 12:59am

Generated on Mar 28, 2023

Dataset Split

Train Set 85%
3159Images
Valid Set 9%
325Images
Test Set 7%
245Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Blur: Up to 2.25px

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