Dataset Versions
v3
V3 final TIPE
Generated on May 10, 2024
2862 Total Images
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Dataset Split
Train Set 89%
2538Images
Valid Set 7%
207Images
Test Set 4%
117Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.9px
Noise: Up to 0.97% of pixels