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AI path · course 45 of 184
Image Segmentation
Intermediate · 5 lessons · 0 complete
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.
