This client’s website is the leading consumer resource for detailed information on various new home builders, communities, and floor plans. It also provides tools and guides to assist buyers in navigating the home buying process, from selecting the right home to securing financing.
The client integrates millions of home listing records, including product images such as community visuals, home interiors and exteriors, and floor plans.
About 95% of these images lacked labels, and the remaining had inconsistent labels added by disparate content contributors.
Given the large volume of data — around 2.5 million images — manual processing was impractical. Therefore, the client required an automated system with batch processing and on-demand RESTful APIs, capable of generating and updating metadata in near-real-time, with a 93% accuracy target.
EX Squared’s AI-based solution generates standardized image labels, unique image metadata, and enables personalized image search for increased UX, engagement, and SEO organic traffic.
EX Squared’s AI image classifier accurately predicts and annotates real estate images with over 96% accuracy. It can detect 300+ objects within an image, and classify each image into 30+ categories and subcategories.
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