Dataset Versions
v2
2024-08-31 2:15am
Generated on Aug 31, 2024
48 Total Images
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Dataset Split
Train Set 88%
42Images
Valid Set 8%
4Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels