Dataset Versions
Versions
v1
2024-05-02 1:45pm
Generated on May 2, 2024
276 Total Images
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Dataset Split
Train Set 87%
240Images
Valid Set 9%
24Images
Test Set 4%
12Images
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
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -31% and +31%
Blur: Up to 4.8px
Noise: Up to 1.88% of pixels