If you’ve ever tried to explain how computer vision works to your friends, family or colleagues, you probably know that it can be hard to do. This is especially
Creating a computer vision model, at the outset, seems like a pretty involved task. Even if you’re using an end-to-end solution like Roboflow, the process will always require you
Computer vision, on the whole, is an ambitious undertaking. We are developing technology that can see the world as we see it - to recognize simple objects like trees and
“You could do what Roboflow does yourself but…why would you?”-Jack Clark, Co-Founder of Anthropic, former Policy Directory at OpenAI, It’s no secret that building a computer vision
Developing, deploying and optimizing computer vision models used to be a cumbersome, painful process. With Roboflow, we sought to democratize this technology, which (first and foremost) meant knocking down the
If deployment is the magic of computer vision, then the act of training a model is the proverbial wave of that wand. Training a computer vision model is the process
Last week, I attended the 2021 Startup Summit from my home office in Des Moines, Iowa. Perhaps one of the few good things to come out of this pandemic are
