Dataset Versions
v2
2024-04-30 3:10pm
Generated on Apr 30, 2024
1109 Total Images
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Dataset Split
Train Set 88%
975Images
Valid Set 8%
90Images
Test Set 4%
44Images
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