In LandingLens, you can quickly and easily compare model performance across multiple datasets in a single project. You can also see how the same model—but with different confidence threshold scores—performs on the same datasets. There is no one-size-fits-all...
In LandingLens, you can train a model based on the data in a snapshot. This allows you to generate multiple models on different datasets in a single project. When you train a model this way, you will use Custom Training. Check out this tutorial video to learn...
In LandingLens, you can revert projects you own from a Snapshot. This is useful if you saved a snapshot, added images and labels to it, then decided the new images are no longer relevant to your project, so you want to return to the first dataset. You can do...
In LandingLens, you can create a new project by copying a snapshot. This is useful so you can change the copy without altering the original data. Check out this tutorial video to learn more.
You can create a snapshot of some or all of the images in your project at any time. A snapshot includes the selected images and their labels, metadata, tags, and labeling tasks. With snapshots, you can quickly perform actions, like training a model using only...
About Us
Careers
Docs
Github
Python Library
Apps Space
Electronics
Food & Beverage
Medical Devices
Life Sciences 
Semiconductor 
Agriculture
Manufacturing
Infrastructure
Pharma
EV Manufacturing
Blog
Academy
Case Studies
Tech Brief
Webinars
Videos
News
Events
Community
Partners
LandingLens
Validation with LandingLens
Deployment Options
Choosing Computer Vision Software 
LandingLens Benefits
Why Data-Centric AI
Pricing
Automotive
Electronics
Agriculture
Manufacturing
Pharma
Community
Apps Space
About Us
Careers
LandingLens
Validation with LandingLens
Deployment Options
LandingLens on Snowflake 
Choosing Computer Vision Software 
LandingLens Benefits
Why Data-Centric AI
Recent Comments