Dataset Versions

v8

2024-08-19 4:30pm

Generated on Aug 19, 2024

Dataset Split

Train Set 88%
624Images
Valid Set 9%
61Images
Test Set 4%
28Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.56% of pixels

Similar Projects

See More
hi hi
3.5k images 1 model
3.5k images 1 model