Crowd Counting in Images
Motivation and scope
Crowd counting or crowd estimation is the task of counting the number of a specific object that exist in an image. Usually, the object of interest is counting the number of people in a crowd. Recent scientific progress in deep learning has resulted in a number of powerful machine learning algorithms for crowd counting that opens up the possibility for new and interesting applications.
The task in this project is to train and implement a state-of-the-art crowd counting algorithm for counting the number of bees in an image.
Good programming skills in at least one of the following: Python, Tensorflow, Keras, PyTorch, and/or Matlab. Basic knowledge in machine learning.
You will learn how to work on a machine learning project using crowd counting algorithms.