Description
In this episode...
In this episode, Piotr Skalski shares his insights on computer vision, machine learning, and deep learning. As a Medium blogger and creator of make sense.ai, an open-source online labeling tool and the onemetric library, he emphasizes the importance of open-source projects and monetizing them. Piotr talks about his journey from civil engineering to computer vision and machine learning and explores the world of open-source repositories. He shares his views on the evolving role of technical professionals in AI and how automation impacts jobs. Piotr encourages staying curious in AI for growth and provides valuable resources for learning more.
Who is Piotr?
Piotr Skalski is a ML Growth Engineer at Roboflow, Medium blogger and creator of make sense.ai, a popular open-source online labeling tool for small computer vision projects with over 2.0k stars on GitHub and 1500 unique daily users. He is also the creator and active maintainer of onemetric, an open-source Python library for benchmarking computer vision models. Piotr has contributed to YOLOv5, one of the largest open-source computer vision repositories, with almost 20k stars on GitHub. He is interested in computer vision models explainability and in-browser machine learning. In this Let's Talk AI episode, Piotr talks about his journey from civil engineering to computer vision and machine learning, the importance of open-source projects, and monetizing open source projects. He also shares his insights on the evolving role of technical professionals in AI, automation impact on jobs, and AI advancements. Piotr encourages staying curious in AI for growth and provides valuable resources for learning more.
rtistic Direction & Video: Maxence Kerhoas
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