mm_segmentation_full Dataset

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Generated on Sep 14, 2024
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5010 Total Images

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Dataset Split

Train Set 83%
4149Images
Valid Set 14%
718Images
Test Set 3%
143Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 99% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.18% of pixels

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