Dataset Versions

v7

2023-09-05 10:20am

Generated on Sep 5, 2023

Dataset Split

Train Set 91%
267Images
Valid Set 9%
25Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 1px
Mosaic: Applied
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Noise: Up to 2% of pixels

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