Computer Vision Data Annotation & Preparation Using DVCx скачать в хорошем качестве

Computer Vision Data Annotation & Preparation Using DVCx

Customer Success Engineer, Ryan Turner, shows off the powerful features of DVCx, the next generation of DVC designed specifically for Generative AI data. In this meetup, he will show how to use the latest image description models (both OpenAI and local models like BLIP) to augment your training data for computer vision tasks. DVCx not only allows you to easily apply standard filters but also allows you to augment the training data. Ryan will show how you can ingest, easily link, and view your metadata, filter, augment, and train your models for computer vision tasks with only a few lines of Python, no glue code required. All while keeping the data safe and sound in its storage location with no copies! Join us to see how DVCx works with this use case! Research paper on our approach: https://arxiv.org/abs/2309.11608 If you’d like to discuss your use case with the team and learn more: https://calendly.com/josh-iterative/4... or click the button at the top of https://dvc.ai If your team would like help from our customer success engineers getting set up with DVC and our GitOps approach, head here: https://dvc.org/support