Dataset Versions

v13

2024-07-19 1:36am

Generated on Jul 19, 2024

Dataset Split

Train Set 96%
2240Images
Valid Set 3%
64Images
Test Set 1%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±21° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -34% and +34%
Brightness: Between -16% and +16%
Exposure: Between -12% and +12%
Blur: Up to 0.8px
Noise: Up to 0.65% of pixels

Similar Projects

See More
9.9k images 1 model