Google aims to ensure that the images you upload to Google Maps are as beneficial as possible, and it is utilizing AI to achieve this, naturally.
Maps will now recommend photos for you to upload, assuming it has access to your gallery. After you grant this permission through the app settings, you will automatically see photos and videos from your recent outings featured in the Contribute tab. These suggestions are available on Android at launch and will be introduced to iOS in the upcoming months.
After you choose the photo or video you wish to upload, Gemini will evaluate the media and recommend the most suitable caption. “Captions provide important context to images, but it can occasionally be challenging to articulate the right words,” states Google.
Please be aware that these captions for photos are generated by AI and do not serve as reviews of the location itself. They are concise, headline-style titles intended for images. After Gemini produces them for you, you have the option to retain them as they are or modify them as you see fit.
AI-generated captions in Maps are currently accessible in English for iOS users located in the US. In the upcoming months, this feature will be extended to Android users and made available globally.
Ultimately, Google is implementing interface modifications on iOS, Android, and desktop platforms to motivate users to share more frequently. Your total impact points and achievement badges will now be displayed more prominently in the Contribute tab. The same applies to Local Guide levels on your profile page. Additionally, top contributors will be awarded gold-colored profiles.
“Images, testimonials, and footage of genuine experiences enable individuals to make informed choices about activities and destinations,” states Google.
Last month, Google Maps introduced a variety of AI-driven features. Initially, it launched 3D navigation views along with an interactive “Ask Maps” feature powered by Gemini to assist with your inquiries. Subsequently, an update for Android Auto was released, utilizing AI to predict the number of charging stops required for an electric vehicle journey.
