Accelerate VLA Segmentation for Robotics with SAM 3

Training robots to see and act often requires overcoming messy video data, inconsistent masks, and time-intensive labeling. In this hands-on masterclass, our ML team will show you how to use SAM 3, the most advanced unified model from Meta, to automate video segmentation, cut annotation time, improve temporal consistency, and scale high-quality perception datasets for VLA and embodied-AI models. You’ll learn how to: - Eliminate manual labeling pain by segmenting and tracking moving robots, tools, and objects with automated video workflows. - Use SAM 3 to boost annotation speed and accuracy u…