An Overview of Semantic Image Segmentation
Image segmentation is a computer vision task in which we label specific regions of an image according to what's being shown.
semantic-segmentation segmentation computer-vision article tutorial

More specifically, the goal of semantic image segmentation is to label each pixel of an image with a corresponding class of what is being represented. Because we're predicting for every pixel in the image, this task is commonly referred to as dense prediction.

Don't forget to tag @jeremyjordan in your comment, otherwise they may not be notified.

Authors
Machine learning engineer. Broadly curious. Twitter: @jeremyjordan
Share this project
Similar projects
Multimodal Brain Tumor Segmentation
Segmentation of gliomas in pre-operative MRI scans. Use the provided clinically-acquired training data to produce segmentation labels.
SemTorch
Different deep learning architectures definitions that can be applied to image segmentation.
Single-Stage Semantic Segmentation from Image Labels
We attain competitive results by training a single network model for segmentation in a self-supervised fashion using only image-level annotations
Detectron2
FAIR's next-generation platform for object detection and segmentation.
Top collections