Computer Vision
Reproducible, Explainable Computer Vision
In Just Two Lines of Code
Import Comet and instantly implement experiment tracking, model debugging, and production monitoring. Any framework, any environment, any team—Comet just works. Get started for free today.
Trusted by the most innovative ML teams
Understand Your Model With Customizable, CV-Focused Visualizations
Graphic Tab
Struggling with subpar model performance on specific images in your dataset? Turn to the Graphics tab, identify patterns, and drive improvement by iterating your approach. Find new solutions and elevate your model’s performance with Comet.
Image Panel
Visualize image data across experiments and over time for tasks such as object detection, segmentation, and reconstruction etc. Easily compare input samples over the course of your computer vision training runs, evaluate and compare the quality of outputs from object detection, segmentation and generative models.
Interactive Confusion Matrixes
Easily spot misclassifications, analyze pattern irregularities in your data and identify problematic samples or irregularities in your datasets.
Custom Panels
Build bespoke visualizations for your experiment data that are tailored to your use case. Use our Python or Javascript Panel SDK’s to build sophisticated, interactive tools that extend Comet’s visualization capabilities to new problems.
Seamless Integrations With Leading Computer Vision Libraries and Tools
Visualize, compare, and optimize your YOLOv5 and YOLOv8 runs with Comet’s platform
Get power anomaly detection for Industry 4.0 with Comet and the Anomalib Deep Learning Library
Use Comet with Pythae, a library to build state of the art auto-encoder models Use Comet with Pythae
Best-In-Class Experiment Tracking, Management, and Monitoring Capabilities That Help Keep Track of the Progress and Results of the Models
Manage and version your training data, track and compare training runs, create a model registry, and monitor your models in production—all in one platform.
A Highly Collaborative Platform That Empowers Business Stakeholders and Cross-Functional Teams to Have Transparency and Clarity Into Your CV Projects
Comet Dynamic Reports
Comet Dynamic Reports enables you to transparently share your research, generate reports for audits and governance without having to go through the trouble of taking recreating plots and piecing together data from different sources. Embed existing visualizations and tables from your Comet project directly into reports and communicate results with stakeholders without paying for extra seats.
Custom Views
Custom Views allow you to tailor your Comet Project visualizations to the team member or stakeholder you’re working with. Save these views to quickly access past analysis or communicate results.
Ready to level up your computer vision debugging?
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An ML Platform Built for Enterprise, Driven by Community
Comet’s ML platform is trusted by innovative data scientists, ML practitioners, and engineers in the most demanding enterprise environments.
“Comet has aided our success with ML and serves to further ML development within Zappos.”
KYLE ANDERSON
DIRECTOR OF SOFTWARE ENGINEERING
“Comet offers the most complete experiment tracking solution on the market. It’s brought significant value to our business.”
Olcay Cirit
Staff Research and Tech lead
“Comet enables us to speed up research cycles and reliably reproduce and collaborate on our modeling projects. It has become an indispensable part of our ML workflow.”
Victor Sanh
Machine Learning Scientist
“None of the other products have the simplicity, ease of use and feature set that Comet has.”
Ronny Huang
Research Scientist
“After discovering Comet, our deep learning team’s productivity went up. Comet is easy to set up and allows us to move research faster.”
Guru Rao
Head of AI
“We can seamlessly compare and share experiments, debug and stop underperforming models. Comet has improved our efficiency.”
Carol Anderson
Staff Data Scientist
Customer Case Studies
How Scientists at Uber Use Comet to Manage Machine Learning Experiments
Scale is an interesting, often over-simplified challenge in machine learning. Intuitively, most everyone understands that bigger models require large amounts of resources (e.g., large datasets, computational power), but cost is just one piece of ML’s scale problem.
Transportation
10,001+ employees
Using Comet Panels for Computer Vision at Pento.ai
We recently released a code-based custom visualization builder called Custom Panels. As part of the rollout, we’re featuring user stories from some of the awesome Researchers using Comet as part of their R&D toolkit.
Technology
11-50 employees
Comet Resources
Object Detection: Detecting A School Bus
Object Detection : Detecting a school bus
A three part series that walks you through how to use Comet, Yolov5 and Roboflow to detect a school bus passing by a home.
Comet Benefits
Faster Time to Market
With Comet, teams can develop, test, and deploy Computer Vision models more quickly, helping to accelerate time to market for new products and features.
Improved Model Performance
Comet’s visualizations and monitoring capabilities make it easier to identify and address issues that may be impacting model performance, leading to better accuracy and more reliable results.
Increased Productivity
By streamlining the model development process and providing a central location for experiment tracking and management, Comet helps teams to be more productive and collaborative.
Greater ROI
Comet’s advanced features and integrations with top CV libraries can help teams to get more value out of their Computer Vision projects, ultimately leading to a better return on investment.