v3

2024-10-25 9:25am

Generated on Oct 25, 2024

Dataset Split

Train Set 88%
105Images
Valid Set 10%
12Images
Test Set 2%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 7
Rotation: Between -2° and +2°
Grayscale: Apply to 9% of images
Hue: Between -2° and +2°
Brightness: Between -2% and +2%
Exposure: Between -2% and +2%
Noise: Up to 0.1% of pixels

Similar Projects

See More
f g
29 images 1 model
g g
147 images