Our new Travel image recognition model automatically identifies travel-related concepts in pictures and video and can be used to build and improve apps in the travel, leisure, and hospitality industries.
We’re excited to announce our new Travel model, which allows you to build all sorts of cool apps in the travel, leisure, and hospitality space. With our new Travel model, you’re now able to auto-tag images and video with travel-related concepts like:
The current Travel model is designed to identify specific features of residential, hotel, and travel-related properties. Use it alongside our core general model to add broader travel concepts like romance, relaxation, adventure, scenic, etc.:
And remember the Not Safe For Work (NSFW) nudity recognition model we released last month? You can use our Travel model with NSFW to find nude beaches.
Who should use the Travel model?
We built this model with businesses and developers in mind who rely on user-generated and professionally-taken content to inform their travel platforms. For example, Trivago uses this model to auto-tag images that hotel chains on their platform upload of their properties:
Whether you’re a travel booking platform like Expedia, Kayak, Orbitz, or Travelocity, or a travel review site like Tripadvisor, Yelp, or Foursquare, you’re probably getting a good stream of user-uploaded images and video every day. Our super accurate Travel model automatically categorizes and tags this media, so you don’t need a team of humans sorting through these uploads manually.
Not only can businesses use the Travel model to curate their content, developers can build cool apps with it, too! One hacker has already created a nifty Chrome extension that allows you to right-click on any image on the web to get recommendations on where to go next from travel sites like Tripadvisor! We’ll be sharing the hack next week, so make sure you follow us on Twitter if you want to try it out.
