pjt

wheel_seg

Instance Segmentation

wheel_seg Image Dataset

v1

2024-05-14 12:42pm

Generated on May 14, 2024

Dataset Split

Train Set 87%
348Images
Valid Set 8%
33Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x360

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.92% of pixels