Cvat: Active Learning and Online Learning Functionality

Created on 19 Aug 2020  路  4Comments  路  Source: openvinotoolkit/cvat

Hi guys,

Are you planning on implementing support for Active Learning or Online Learning for fast object detection labeling in the near future? Cheers, Sam

question

Most helpful comment

Hey, @davodogster !

Currently, we're working on a POC for "regular" learning with CVAT-based annotation. Online/active learning is a next logical step, but, I think, we'll get around it no sooner than 2021.

All 4 comments

Hey, @davodogster !

Currently, we're working on a POC for "regular" learning with CVAT-based annotation. Online/active learning is a next logical step, but, I think, we'll get around it no sooner than 2021.

Great to hear that. Does the "regular learning" involve training a model inside CVAT and using it to predict unlabeled images?

Not initially. "Regular learning" means:

  1. Setting up a task in CVAT with a predefined annotation schema (e.g. a bounding box annotation with a single label "face" to train a face detector).
  2. Exporting the annotated tasks as a dataset
  3. Training the model using the exported dataset.

Inclusion of the model into CVAT to annotate unlabeled data (and to fine-tune again and to annotate more and so forth) is what I'd call "online learning" and it's something further down the road.

@snosov1 That makes sense - thanks for the clarification. Looking forward to the online learning in the future. I see that LabelStudio also have it and active learning on their todo list.

Was this page helpful?
0 / 5 - 0 ratings