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 solution,...
In LandingLens, you can train a model based on the data in a snapshot. This AI model training process 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...
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 this by...
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 an AI 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 these AI snapshots, you can quickly perform actions, like training a model using...
