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Custom Machine Learning Solutions for Real World Problems
High-performing segmentation models depend on pixel-accurate masks. If you need clean ground truthbeyond boxesmanual mask annotation is the difference between good enough and production-level results.
I provide manual image segmentation (polygon/mask labeling) for semantic or instance segmentation. I focus on boundary accuracy, consistent mask definitions, and careful handling of challenging regions (fine edges, overlaps, motion blur, low contrast).
What you get:
Send me a message with example images, classes, and the expected output format, and Ill match the annotation style to your project.
Técnica:
Manual
Tipo de etiquetado:
Imagen
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Video