Cross Post: December '22 Computer Vision Meetup (Virtual)

Zoom Link
https://us02web.zoom.us/webinar/register/9016698245637/WN_8u6oFjU7QN2StaQSWTw7HQ

Agenda

• Housekeeping
• Lightning Talk: Wearable Vision Sensors - Kris Kitani (Carnegie Mellon University)
• The Future of Data Annotation: Trends, Problems & Solutions - Anna Petrovicheva (CVAT.AI)
• Using Similarity Learning to Improve Data Quality - Kacper Łukawski (Qdrant)

Lightning Talk: Wearable Vision Sensors
Can wearable cameras be used to better understand human activity? This talk will introduce several new projects that show the potential of wearable cameras for measuring 3D human pose even when the full body is not visible in the camera view.

Kris M. Kitani is an associate research professor of the Robotics Institute at Carnegie Mellon University. His research projects span the areas of computer vision, machine learning and human computer interaction.

The Future of Data Annotation: Trends, Problems & Solutions
The data annotation market is growing at 26% per year. This rapid growth rate reflects the importance of categorizing and labeling data in the AI-driven world. Anna will discuss the current state of tools and techniques related to data annotation and what innovations we can expect in the upcoming years - including decentralization, Web3, and AI-based annotation.

Anna Petrovicheva is the CEO at CVAT.ai and CTO at OpenCV.ai. A computer vision leader with 12 years of experience in the field leading consulting teams working Fortune 500 companies in the medical, AR, sports, retail and security industries.

Using Similarity Learning to Improve Data Quality
Real-world data is a living structure, it grows day by day, changes a lot and becomes harder to work with. The process of splitting or labelling is error-prone and these errors can prove to be very costly. Similarity Learning is not only a great tool for data classification, even in the case of extreme classification, but also a surprisingly good way to improve the quality of your data. In this talk, Kacper will present how to approach quality assurance with deep neural networks in practice.

Kacper Łukawski is a Developer Advocate at Qdrant - an open-source neural search engine. Recently he’s been exploring the world of similarity learning and vector search.

Don't Forget

* Voxel51 will make a donation on behalf of the Meetup members to the charity that gets the most votes this month
* Can't make the date and time? No problem! Just make sure to register for the Zoom so we can send you links to the playbacks

About the Meetup Sponsor
Voxel51 is the maintainer of the open source FiftyOne computer vision project