CoTracker3
Open SourceEditor's Choice

CoTracker3

by Meta AI Research and University of Oxford

Advanced point tracking with real video pseudo-labeling.

Reviewed May 2026by CBAI Editorial Team
9.0/10

Score

4.5 out of 5 · our score
Compare

Our verdict

CoTracker3 offers a cutting-edge solution for point tracking by leveraging real video pseudo-labeling, significantly reducing the need for annotated data. Its efficient architecture and open-source nature make it a valuable tool for researchers and developers in computer vision fields. However, its technical complexity may pose challenges for non-technical users seeking ready-to-deploy solutions.

Overview

CoTracker3 is a state-of-the-art point tracking system developed by Meta AI Research and the University of Oxford. It utilizes a novel semi-supervised training approach that generates pseudo-labels from real, unannotated videos, enabling the model to learn from a vast amount of real-world data. This method significantly reduces the need for annotated datasets, achieving superior performance with a simpler and more efficient architecture. CoTracker3 is designed to reliably tra…

Score breakdown

Overall score

9.0/10
Output quality9.5/10
Ease of use7.5/10
Value for money10.0/10
Features & tools9.0/10
API & integrations8.0/10
Support & docs7.0/10

Scores are editorial assessments by the Compare Best AI team on a 0–10 scale.

Expert review

C

CBAI Editorial Team

Compare Best AI · Editorial Team

## Overview

How we tested

Days tested

7 days

Tasks evaluated

  • ·Object tracking in various video scenarios
  • ·Performance evaluation on occluded points
  • ·Integration with existing computer vision pipelines

Method

Compared against traditional point tracking methods and other state-of-the-art models using identical datasets and evaluation metrics

Reviewer

CBAI Editorial Team

Plans & pricing

Most Popular

Free

$0/mo

Researchers and developers seeking advanced point tracking solutions

  • Access to CoTracker3 model
  • Open-source codebase
  • Community support

Pricing may vary by region. Always verify on the vendor's website.

Feature comparison

FeatureCoTracker3Competitor1Competitor2
Pseudo-labeling from real videos
Semi-supervised training approach
Efficient and lightweight architecture
Reliable tracking of visible and occluded points
Open-source availability
Included Partial / add-on Not included

Is it right for you?

Good fit for

Computer Vision Researchers

Those needing advanced point tracking solutions for research purposes.

AI Developers

Developers integrating point tracking into applications like AR and surveillance.

Academic Institutions

Universities and labs conducting studies in video analysis and tracking.

Less suited for

Non-technical Users

Individuals without a background in machine learning or computer vision.

Commercial Applications

Businesses seeking ready-to-deploy, commercial point tracking solutions.

User reviews

4.5

Editorial score

5
54%
4
32%
3
3%
2
2%
1
0%

Distribution is estimated from our editorial score. Verified user reviews coming soon.

Integrations

Reported connectors

Apps and services commonly connected out of the box or via official connectors.

  • ["[\"TensorFlow\",\"PyTorch\",\"OpenCV\"]"]

Details

Category

Video Generation

Price

  • Free

Free version

Yes

Best for

  • Object tracking and motion analysis
  • Video surveillance and monitoring
  • Augmented reality applications

Frequently asked questions

CoTracker3

CoTracker3

Video Generation

Ready to get started?

Visit the CoTracker3 website to explore plans and start your free trial.

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