- 05 Aug 2024
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LandingLens Workflow
- Updated on 05 Aug 2024
- 1 Minute to read
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This article applies to these versions of LandingLens:
LandingLens | LandingLens on Snowflake |
✓ | ✓ |
LandingLens is a cloud-based platform that allows you to develop and deploy computer vision models, all without needing a background in deep learning or artificial intelligence.
After you sign up for LandingLens, follow this workflow to create and deploy your computer vision model:
- Create a project.
- Upload images to that project.
- Create classes.
- Label your images.
- Train your model.
- Review the predictions. If needed, improve your dataset, retrain your model, and repeat until you're happy with your model's performance.
- Deploy your model.
LandingLens Video Walk-Through
Learn how to use LandingLens directly from Andrew Ng, the Founder of LandingAI! In the following video, Andrew Ng walks you through the process of creating a computer vision model in LandingLens. He explains how to upload images, train a model, and test it on new images it has never seen before!