Dataset Versions
v3
2024-05-03 9:29am
Generated on May 3, 2024
1253 Total Images
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Dataset Split
Train Set 88%
1104Images
Valid Set 8%
101Images
Test Set 4%
48Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Shear: ±3° Horizontal, ±3° Vertical
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels