🔥 Discover the future of data labeling with Kili Technology, a leading data labeling platform designed to streamline your machine learning projects. Our platform simplifies the complex data labeling process, offering a range of tools for segmentation, bounding box, pose estimation, interactive segmentation, NLP tasks, and more. ✨
With Kili Technology's data labeling platform, you can leverage AI-powered semantic masks, view and label data at scale, and even plug in off-the-shelf models. Our platform is designed to enhance collaboration, allowing users to review and correct model predictions, raise issues, ask questions, and manage projects through comprehensive analytics on throughput and quality. ✅
🙌 Experience the power of automatic label QA with our platform, enabling quick fixes for quality issues, label review and preservation, and class changes for mislabeled assets. Our platform also supports programmatic quality assurance through Kili plugins.
Kili Technology's data labeling platform integrates seamlessly with cloud storage solutions like Azure, GCP, and AWS, and can also be integrated with a private cloud. You can easily integrate our platform into your ML stack with our API and Python SDK. 🤩
👉 To learn more about our data labeling platform, visit: https://hubs.li/Q01tgWh40
Awesome AI/ML resources: https://hubs.li/Q01ZX1C20
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Chapters:
0:00 - Kili Technology: One Tool for Data Labeling
0:22 - Multiple Labeling Features
0:53 - Viewing Unlabeled Assets
1:05 - Reviewing and Correcting Model Predictions
1:26 - Collaborating with Reviewers and Label Learners (Explore and fix)
1:47 - Managing Projects with Analytics
2:00 - Automatic Label Disagreement Quantification
2:22 - Resolving Labeling Issues
2:39 - Integrating Data with Cloud Storage
2:53 - Leveraging Kili's API and Python SDK
2:58 - Exporting Labels and Using Off-the-Shelf Models