News, insight and updates from the world of FoxyAI.
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.
At FoxyAI we believe that just as a home buyer scrupulously inspects the visual quality of a property, so should the machines.
