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Real estate listing firm Trulia is on the cutting edge of applying computer vision. In this edition of the Talking Data podcast, we talk with the company’s vice president of engineering, Deep Varma, to learn more about how his team is applying computer vision.
As you’d expect, Trulia’s computer vision processes are built around deep learning algorithms. These are the machine learning models powering most of today’s most advanced AI applications. And while engineers have made significant advances in the functionality of these models, impactful business applications have been slower to come around.
Trulia, however, has found an interesting way to implement image recognition deep learning models to build computer vision applications that are capable of identifying and describing specific objects in images. This gives prospective home buyers an idea of what they should expect from a listing before clicking on it and enables Trulia’s recommendation engines to surface more relevant results.
Listen to the podcast to learn more about how the company is deploying deep learning models in the area of computer vision.
The post How Trulia deploys computer vision appeared first on Talking Data Podcast » Episodes.
