Bicycle_detection Dataset

v8

2024-07-02 9:11am

Generated on Jul 2, 2024

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Dataset Split

Train Set 94%
633Images
Valid Set 5%
33Images
Test Set 1%
7Images

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 -15° and +15°
Brightness: Between -40% and +40%
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -20% and +20%
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