CarR

CarRecognition

Classification

CarRecognition Image Dataset

v2

2023-01-23 11:35pm

Generated on Jan 23, 2023

Dataset Split

Train Set 87%
5964Images
Valid Set 8%
559Images
Test Set 4%
302Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each