Roboflow at CVPR 2026
Meet the Roboflow team at CVPR 2026.
- Booth
- 423
- Venue
- Colorado Convention Center, Denver, CO
- Dates
- June 5 to June 7, 2026
Bring your vision models into production.
Stop by our booth and learn how to transform raw images into real-time inference.
- 01
Try out the latest computer vision tools
Explore tools that streamline the development and deployment of vision applications. Try out our new vision agent, model training strategies, cloud or edge inference, and more.
- 02
See how vision integrates with production systems
Find out how to bridge the gap between computer vision models and physical systems, including cameras, industrial machinery, and real-time analytics.
- 03
Get expert guidance for your vision projects
Connect with our engineers and experts who solve computer vision problems every day. Our team will be sharing insights on our latest tools, research, and open-source contributions.
Want to learn about a specific topic?
During the show, we will be exploring the topics below. Schedule a guided demo or discussion with one of our team members to dive deep into any of these areas.
0 / 7 topics selected
- 01
Building Apps with Vision Agents
Have a computer vision problem but aren't sure how to build and test a solution? Learn how to leverage AI agents to rapidly prototype and accelerate your entire development process.
- 02
Training Custom Vision Models
Implement continuous improvement loops with automated labeling. Train efficient, accurate detection and segmentation models using Neural Architecture Search, and get hands-on with our open source RF-DETR architecture.
- 03
Using Foundation Vision Models
Explore the capabilities of the latest foundation models. See how to seamlessly integrate powerful large vision and language models, like Qwen 3.5 and SAM 3, directly into your applications.
- 04
Running Inference Locally
Discover how to deploy custom models to edge devices like the NVIDIA Jetson. Learn how Roboflow Inference provides low-latency performance for critical, real-time local applications.
- 05
Choosing the Right Cloud
Transition models from research to production with cloud-hosted APIs. Learn about the different cloud inference options, ideal use cases, and how to get started with inference in the cloud.
- 06
Identifying Problems to Solve
A great model doesn't guarantee a successful application. Learn how to evaluate real-world constraints, prioritize the right industrial use cases, and scope your computer vision projects for successful production deployment.
- 07
Selecting Cameras & Ingesting Data
They say, "Garbage in, garbage out." Even state-of-the-art models stumble on poor-quality imagery. Learn how to build a robust data ingestion pipeline and select the right camera hardware for your specific environment.
Schedule a meeting.
Want to discuss a specific use case or see a personalized demo? Reserve a time to meet with one of our team members at the show. We will follow up by email to confirm a time during the conference.
Selecting topics above pre-checks them here. We'll follow up by email to confirm a time during the show.