Navigating Vision Systems with Weights & Biases and SmartCow

Join us for a virtual session with Soumik Rakshit, ML engineer at Weights & Biases, and Anton Dorozhko, Sr. Software Engineer, ML and Solutions at SmartCow. During the session, Soumik will shed the light on the role of Ultralytics in elevating computer vision tasks and the big picture of the Weights & Biases ecosystem for computer vision. Followed by Anton, who will focus on crucial metrics and tests for understanding object detection and tracking performances at SmartCow and how these can be implemented with Weights & Biases, using the Ultralytics repository as a practical example.

The session will conclude with an interactive Q&A segment, offering you a chance to dive deeper into specific topics and engage directly with our expert speakers. Reserve your spot and ensure you're at the forefront of AI and computer vision advancements!

Anton Dorozhko

Anton is a Sr. Software Engineer, ML and Solutions @ SmartCow with a strong background in developing cutting-edge machine learning solutions for Smart Cities and Industry 4.0 applications optimized for edge devices and server inference. Anton has 8+ years of experience mainly in different startups and knows the importance of seamless model deployment and maintenance for 100s real-time video stream analytics pipelines.

Soumik Rakshit

Soumik is a Machine Learning Engineer working on end-to-end deep learning pipelines as part of the Growth team at Weights & Biases. My research and development interests include Generative Machine Learning Models, Video Enhancement Systems, Neural Radiance Fields, and NLP-based solutions to improve and automate student evaluation in the education sector. I enjoy implementing research papers in machine learning and computer graphics and communicating such ideas using end-to-end notebooks, and articles. I’m also working on training machine learning models on TPUs using Jax, Flax, Tensorflow, and Keras.