Dataset Versions

v2

2024-08-14 6:40am

Generated on Aug 14, 2024

Dataset Split

Train Set 95%
2301Images
Valid Set 5%
123Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 320x320
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%

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