Computer Vision

Fri May 29 2020

Humans use their eyes and their brains to see and visually sense the world around them. Computer vision is the science that aims to give a similar, if not better, capability to a machine or computer.

Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. It involves the development of a theoretical and algorithmic basis to achieve automatic visual understanding.

In this training we will cover object detection, a computer vision task of localizing objects in images/videos, and classifying them. In particular, we will do transfer learning and use the pytorch FasterRcnn implementation.

Learning goals

  • Different approaches to object detection
  • Understanding how to create a custom object detection
  • Understanding how object detection algorithms come up with a prediction (Anchor boxes, bounding boxes, non maximum suppression)

Required knowledge

A basic idea of convolutional neural networks. Some experience with Pytorch

Training information

Xomnia, Raamstraat 7-I, 1016 XL Amsterdam, Netherlands
Quotation on request
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