Videos
To learn more about the Electrical Grid Inspection Use case, read blog here.
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, but quickly comparing model performance can help you identify 1) what model works best for your […]
Have you ever wondered what specific characteristics models consider when they’re making predictions? For Classification projects, you can view a heat map to see just that. Watch this tutorial video to learn more.
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 tutorial video on our snapshot AI model training […]
LandingLens offers parallel training, which means when one model is training, you can start training another model. Machine learning parallel processing is helpful if you want to compare performance between multiple datasets or model training settings. Watch this AI parallel training tutorial video to learn more.
Let’s say you recently trained your model and analyzed its performance. Your model isn’t performing as well as you’d like, so you want to improve its performance. LandingLens offers several methods to help better the performance of your model. This tutorial video explores eight techniques to improve model performance.
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 reverting to the snapshot […]
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