PyImageSearch University offers access to over 500 tutorials dedicated to computer vision and deep learning, including the source code, datasets, and corresponding pre-trained models. According to the service’s presentation page, visitors are invited to enter their email address to learn more.
Commented Code and Ready-to-Use Environment
The service highlights documented source code, with line-by-line explanations. It also offers preconfigured Jupyter notebooks (interactive documents mixing code and comments) to run with one click in Google Colab, Google’s online computing environment. Examples can thus be launched from a browser, without setting up a development environment.
The page mentions support for Windows, macOS, Linux, and Raspbian. It also announces full access to PyImageSearch University courses, video tutorials for each lesson, and course completion certificates, as well as the addition of new courses every month, dedicated to recent trends in computer vision and deep learning.
An Engineer’s Testimonial
The page includes a testimonial from Sanyam Bhutani, Machine Learning Engineer and 2x Kaggle Master. He describes the offering as the computer vision “Masters” he wished he had found when starting out, and praises the ability to consult all of Adrian’s tutorials on a single indexed page, as well as to test the code without a full environment installation.
