The generation of training data can be a challenging task. To cut down the needed time to annotate, the Flai web application offers an AI learning point module that leverages active learning.
The system asks users to annotate just a few most informative examples and then retrains the AI models. The process can be repeated until satisfactory results are generated.
If you notice areas where the AI model does not perform optimally, use Tools for manual annotation directly on Flai's cloud-based machine learning platform.
To train machine learning models users have to provide training data.
Active learning in three steps
Annotate informative examples
The system asks you to annotate only the most informative samples from your point cloud.
Retrain the AI model
Flai retrains the model using your newly annotated data directly on the platform.
Iterate until satisfied
Repeat the loop until the model produces the results you need on your data.
Train your own AI model on Flai
Get started with the Flai web app and leverage active learning on your own point clouds.