Dataset Versions
Versions
v1
2024-05-02 4:19pm
Generated on May 2, 2024
58 Total Images
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Dataset Split
Train Set 88%
51Images
Valid Set 9%
5Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Shear: ±8° Horizontal, ±13° Vertical
Grayscale: Apply to 19% of images
Hue: Between -24° and +24°
Exposure: Between -10% and +10%
Blur: Up to 2.2px
Noise: Up to 1.84% of pixels