Dataset Versions
v6
Enhanced Augmentation
Generated on Apr 30, 2024
35377 Total Images
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Dataset Split
Train Set 95%
33691Images
Valid Set 3%
1184Images
Test Set 1%
502Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Exposure: Between -20% and +20%
Blur: Up to 2.5px