Dataset Versions
v2
2023-11-09 3:08pm
Generated on Nov 9, 2023
119 Total Images
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Dataset Split
Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 3%
4Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Noise: Up to 1% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.25px