Date & Time
Jan. 25, 2024, 1 p.m. - Jan. 25, 2024, 2:30 p.m.
Cost
$0
Location
Online
Jan. 25, 2024, 1 p.m. - Jan. 25, 2024, 2:30 p.m.
$0
Online
When
January 25, 2024 – 10:00 AM Pacific
Where
Virtual / Zoom - https://voxel51.com/computer-vision-events/jan-25-ai-machine-learning-data-science-meetup/
SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset
In this talk we introduce SANPO, a large-scale egocentric video dataset focused on dense prediction in outdoor environments. It contains stereo video sessions collected across diverse outdoor environments, as well as rendered synthetic video sessions. To our knowledge, this is the first human egocentric video dataset with both large scale dense panoptic segmentation and depth annotations.
Speaker: Kimberly Wilber is a computer vision researcher at Google Research NYC. She previously studied tasks at the intersection of computer vision and crowdsourcing at Cornell Tech.
Setmlvis: Object Detection Comparison Using Set Visualization
We introduce Setmlvis, a novel tool employing set theory and visualization for object detection model comparison. It efficiently aggregates and matches detection data across multiple models, highlighting where models align or diverge in object detection. This approach allows for analysis of each model’s unique capabilities and common strengths. Through our system, we demonstrate how set theory and visualization can be used as a valuable asset in the model evaluation process.
Speaker: Liudas Panavas is a CS PhD student at Northeastern University’s Data Visualization Lab, where they focus on explainable AI for object detection algorithms. They specialize in developing visual analytics software and conducting comprehensive user experience evaluations.
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 here so we can send you links to the playbacks.