Dataset Versions
v3
2024-12-02 6:43am
Generated on Dec 1, 2024
7925 Total Images
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Dataset Split
Train Set 85%
6705Images
Valid Set 11%
890Images
Test Set 4%
330Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Blur: Up to 2.5px