Dataset Versions
v5
2024-11-12 12:47pm
Generated on Nov 12, 2024
659 Total Images
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Dataset Split
Train Set 92%
609Images
Valid Set 8%
50Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 128x128
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 30% Minimum Zoom, 50% Maximum Zoom
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 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each