3D_v1 Dataset
v3
2024-05-22 11:47pm
Generated on May 22, 2024
670 Total Images
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Dataset Split
Train Set 92%
618Images
Valid Set 6%
40Images
Test Set 2%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Shear: ±7° Horizontal, ±9° Vertical
Grayscale: Apply to 19% of images
Hue: Between -24° and +24°
Saturation: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 2.4px
Noise: Up to 1.88% of pixels