News, insight and updates from the world of FoxyAI.
To prevent FoxyAI’s customers’ servers from idly waiting, or actively polling our API, we’ve created an asynchronous approach using webhooks.
When developing ML models, there is a continuous feedback loop in order to improve their performance.
Training a visual machine learning model first involves labeling a set of images. The labels indicate what is present in an image, and in some cases, its bounding box or polygon.
When viewing photos and/or visual media of a property, there is an abundance of knowledge inherent in the photos that can be learned about the space. For example, it can be determined if there is a bathtub, the state (condition) of the kitchen, or if there are hardwood floors in the living room.
Artificial intelligence (AI) has become ubiquitous. From Netflix recommendations to smart speakers, it seems like every day brings new innovations from the field of artificial intelligence. However, today, no AI is 100% accurate. In fact, AI may never be perfect. Understanding this is key to successfully deploying any AI in your business. When considering applying AI to your business, how should you think about accuracy?
After almost a decade of steady growth, the economy is slowing. Interest rates are up, and inflation is at its highest since 1980. Budgets have been cut and spending frozen. We’ve seen several rounds of layoffs from top startups who’ve raised millions of dollars.
At FoxyAI we believe that just as a home buyer scrupulously inspects the visual quality of a property, so should the machines.
