In the same vein as ImageNet -- a massive trove of categorized images utilized by researchers to improve machine learning, image understanding, and search functionalities across the web -- Google says that it is now looking to create a similar database for videos.
On its Research Blog yesterday, the search giant announced the release of YouTube-8M, a database of 8 million YouTube videos -- comprising over 500,000 hours of video -- that can be used for video analysis, and thereby to help improve video search and discovery across the web.
After years of looking basically the same, Google today upgraded their Image Search results with more photos and less text clutter, putting pages worth of images on one scrollable results page. More »
Google Image Labeler used to be a game that helped Google categorize images and improve image search. It was launched in 2006 and discontinued in 2013. Now Image Labeler is back, but it's no longer a game.If you go to get.google.com...
Google released the YouTube-8M video dataset containing data from over 500,000 videos to accelerate research for video understanding.
Machine learning, which helps computers do things like understand complex voice commands and improve image search capabilities, can be taxing on traditional hardware. Google should know – over 100 of its products and features use th...