Dataset Versions

v3

2024-02-28 12:28pm

Generated on Feb 28, 2024

Dataset Split

Train Set 91%
267Images
Valid Set 6%
18Images
Test Set 3%
9Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 1.7px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Noise: Up to 0.1% of pixels

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