Dataset Versions
v4
2024-11-03 2:21am
Generated on Nov 3, 2024
4800 Total Images
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Dataset Split
Train Set 88%
4200Images
Valid Set 8%
400Images
Test Set 4%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels