Dataset Versions
v3
2024-02-04 5:20pm
Generated on Feb 4, 2024
1232 Total Images
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Dataset Split
Train Set 88%
1080Images
Valid Set 8%
102Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x384
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -11° and +11°
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 1.71% of pixels
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