Dataset Versions

v5

2023-12-05 12:51am

Generated on Dec 4, 2023

Dataset Split

Train Set 87%
600Images
Valid Set 9%
61Images
Test Set 4%
28Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -27% and +27%
Blur: Up to 2.25px
Noise: Up to 9% of pixels
Mosaic: Applied