Collaboration Posts

Sergey Sych
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How to use 3D Slicer with Supervisely to Annotate Medical Training Datasets At Scale | Computer Vision Guide

Discover how to unlock the power of annotating 3D medical images and boost teamwork collaboration by using the best of both worlds.

Lisa Uspenyeva
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Introducing Advanced Dataset Filters for Efficient Data Management | Supervisely Tutorial

Learn how to use conditional filters and build custom queries to your training data. Easily search, filter, sample and explore your Computer Vision datasets.

Lisa Uspenyeva
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Labeling Queues: Streamline Your Labeling Pipeline

Discover the optimal approach for annotating and structuring large-scale data labeling tasks with using Labeling Queues and following our step-by-step guide.

Lisa Uspenyeva
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Mastering Labeling Jobs: Your Ultimate Guide

Discover the power of collaborative annotation through labeling jobs. Learn how to harness teamwork for efficient and accurate data annotation.

Max Kolomeychenko
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How to use labeling consensus to get accurate training data

Consensus with detailed reports allows you to monitor and prevent systematic inconsistencies during the labeling process

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