Dataset Versions
v5
2024-08-15 6:22pm
Generated on Aug 15, 2024
94 Total Images
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Dataset Split
Train Set 73%
69Images
Valid Set 18%
17Images
Test Set 9%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x600
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -9° and +9°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels