Here at Hasty.ai, we work on vision AI projects daily. Too often, our team was looking for a vision AI wiki where the most relevant terms around vision AI are explained in a condensed way. So often that we decided to start it on our own.
As a tool, Hasty brings such features as AI-assisted annotation, AI-powered Quality Control, and no-code model building solution. When it comes to the exact Computer Vision tasks, here are those that Hasty supports:
We're just getting started, so a lot of things are still missing. But over time, this will be a comprehensive resource for everyone working on practical vision AI problems. You can help to make this happen.
As the name suggests, the wiki is all-around visionAI. It explains the most relevant concepts and tries to cover each's practical implications. The goal is not to explain every theoretical detail of the ideas presented but to give the reader all information needed so that he/she can apply it to their project.
All terms contain a description, including a brief explanation, some context on how to apply the concept in practice, links for further theoretical understanding, and if applicable, a code example for the implementation.
Check our overview to see what topics are covered specifically.
Hopefully, the wiki will be helpful for:
However, the wiki is not intended for people who are starting at zero. For these persons, we recommend the introductory lecture series to computer vision by Joseph Redmon. After watching all videos, the wiki can be used to navigate you through the world of visionAI.