carDetect Dataset

v2

2024-06-20 1:35pm

Generated on Jun 20, 2024

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Dataset Split

Train Set 93%
159Images
Valid Set 5%
8Images
Test Set 2%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 256x256

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 9% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 4.4px
Noise: Up to 1.56% of pixels