DataOps for the Modern Computer Vision Stack

Explore the critical role of DataOps in modern computer vision through this comprehensive 44-minute talk. Gain insights into the key data-related challenges faced by computer vision teams and discover specific functions of an ideal DataOps platform to address these issues. Learn about DataOps principles, the pipeline for computer vision stacks, and the future of the field. Delve into topics such as implementing state-of-the-art architectures, tuning model hyper-parameters, and optimizing loss functions while understanding the importance of high-quality training datasets. Engage with a Q&A session to further enhance your understanding of DataOps in the context of computer vision.

Introduction
What is DataOps
Why DataOps for Computer Vision
DataOps Key Principles
DataOps Pipeline for the Computer Vision Stack
Data Challenges for Computer Vision Teams
The Future of Modern Computer Vision Stack
QnA