# Human Body Segmentation

Lab Assignment from [AI for Beginners Curriculum](https://github.com/microsoft/ai-for-beginners).

## Task

In video production, for example, in weather forecasts, we often need to cut out a human image from camera and place it on top of some other footage. This is typically done using **chroma key** techniques, when a human is filmed in front of a uniform color background, which is then removed. In this lab, we will train a neural network model to cut out the human silhouette.

## The Dataset

We will be using [Segmentation Full Body MADS Dataset](https://www.kaggle.com/datasets/tapakah68/segmentation-full-body-mads-dataset) from Kaggle. Download the dataset manually from Kaggle.

## Stating Notebook

Start the lab by opening [BodySegmentation.ipynb](BodySegmentation.ipynb)

## Takeaway

Body segmentation is just one of the common tasks that we can do with images of people. Another important tasks include **skeleton detection** and **pose detection**. Look into [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) library to see how those tasks can be implemented.