AI

Learn how computer vision models move past bounding boxes to classify an image down to the individual pixel, covering semantic, instance, and panoptic segmentation, the encoder-decoder architectures that make pixel-level prediction possible, and where this precision actually earns its higher cost. This is part 2 of the Computer Vision Deep Dive track, and it assumes you already understand object detection and bounding boxes from part 1. Built for learners ready to go a level deeper than where is the object into exactly which pixels belong to it.