Dataset Versions
v1
2024-04-02 5:50pm
Generated on Apr 2, 2024
326 Total Images
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Dataset Split
Train Set 93%
303Images
Valid Set 7%
23Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Vertical
Rotation: Between -15° and +15°
Shear: ±8° Horizontal, ±8° Vertical
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels