Video

Deep Learning Meetup: Advances in Computer Vision

In this livestream of an in-person  event, Yonatan Geifman, Glenn Jocher, and Shir Chorev explored the recent advances in computer vision and how data scientists and AI developers can navigate new trends and tools to build and deploy successful CV applications.

Watch now and learn about:

  • Data-centric versus model-centric approach to computer vision model development
  • The evolution of the YOLO model family and common industry applications of the YOLOv5 detection model
  • How to build test suites for your machine learning model and data, from training and production to new version releases

You May Also Like

[Webinar] How to Evaluate LLMs: Benchmarks, Vibe Checks, Judges, and Beyond

[Webinar] How to Boost Accuracy & Speed in Satellite & Aerial Image Object Detection

[Webinar] How to Efficiently Scale Video Analytics at the Edge

Share
Add Your Heading Text Here
				
					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")