Dataset Versions
v15
2024-01-11 10:46am
Generated on Jan 11, 2024
8395 Total Images
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Dataset Split
Train Set 91%
7634Images
Valid Set 6%
477Images
Test Set 3%
284Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Noise: Up to 0.12% of pixels