Dataset Versions
v6
2024-02-22 2:40pm
Generated on Feb 22, 2024
60 Total Images
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Dataset Split
Train Set 67%
40Images
Valid Set 20%
12Images
Test Set 13%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 600x600
Augmentations
Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels