CAN Computer Vision Dataset
603 Total Images
View All Images
Dataset Split
Train Set 94%
570Images
Valid Set 3%
17Images
Test Set 3%
16Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-66% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.7px
Noise: Up to 1.49% of pixels