Optimizing Image Classification with ResNet Models in Roboflow

​ResNet has stood the test of time as a reliable and versatile architecture for various tasks. Nearly a decade since its introduction, it continues to be popular in both research and industry applications. ResNet’s key strengths include its speed compared to modern transformer-based architectures, performance with minimal trade-offs, and its adaptability in extracting robust feature representations.

​At Roboflow, we’ve integrated ResNet as an option for image classification. In this webinar, we’ll explore the foundational workings of ResNet. We will also demonstrate how you can leverage Roboflow to train a custom ResNet-based image classification model and deploy it for optimized inference.

​Every Tuesday at 11am ET we will showcase an exciting new feature or product. This webinar is open to everyone, we hope to see you there!

We'll also make time at the end for open Q&A.