时间:2026-04-08 01:48:26 来源:网络整理编辑:百科
Facebook's search tool is about to get way more visual. Director of Applied Machine Learning Joaquin
Facebook's search tool is about to get way more visual.
Director of Applied Machine Learning Joaquin Candela published a blog post today (accompanying his presentation at the Machine Learning @Scale event in New York City) to share updates about Facebook's AI-based image-recognition tool. The improvements can home in on photos to the "pixel level" and will let users search images based on their content -- whether or not they've been manually tagged.
"Until recently, online search has always been a text-driven technology, even when searching through images," he writes. "Whether an image was discoverable was dependent on whether it was sufficiently tagged or had the right caption -- until now."
SEE ALSO:How Facebook is trying to dominate mobile without owning your smartphoneAdvancements in Facebook's computer vision tech and the introduction of new tools will let users make much more targeted image searches. For instance, when you search your old photos, you'll be able to look for images where you're wearing a black shirt or red dress, or where the people in the image are dancing.
Facebook's computer-vision tools were originally envisioned to help the visually impaired navigate the service, discerning what's in a photo just by scanning it. But today's news shows general Facebook users have a lot to benefit from the feature as well.
Crediting "a lot" of teams for the advancements, Candela wrote that Facebook's general-purpose AI platform, FBLearner Flow, is now running 1.2 million AI experiments a month -- six times more than it was just a year ago.
Built on top of that is Lumos, Facebook's specialized platform for image and video understanding. Using Lumos, the network' search tool can identify features in images and video automatically. For users, that capability will help pinpoint searches to the exact pic they're looking for -- and for Facebook, the automation will make it easier to identify inappropriate content and spam.
These systems are also being employed to improve the platform's automatic alt text (AAT) for photos, which makes the visual aspects of the platform more accessible to the visually impaired. With the new tools, a set of 12 new actions, like "people dancing," have been added to the automatic image description.
TopicsArtificial IntelligenceFacebook
MashReads Podcast: What makes a good summer read?2026-04-08 01:47
Lenovo settles with the FTC over Superfish adware charges2026-04-08 01:21
Guy crying during an interview for his dream job teaches us a very important lesson2026-04-08 01:15
Don't fall for these fake Facebook videos of Hurricane Irma, like millions of other people did2026-04-08 01:13
Nancy Pelosi warns colleagues after info hacked2026-04-08 01:09
Trump's DACA decision is a double whammy for hurricane survivors2026-04-08 00:59
Zayn Malik is bald now, and fans are in deep, deep mourning2026-04-08 00:26
Fitbit partnership brings diabetes monitoring to the Ionic smartwatch2026-04-07 23:49
Dramatic photo captures nun texting friends after Italy earthquake2026-04-07 23:47
What to do if your social security number was stolen in the massive Equifax hack2026-04-07 23:14
This weird squid looks like it has googly eyes, guys2026-04-08 01:32
Fitbit partnership brings diabetes monitoring to the Ionic smartwatch2026-04-08 00:47
Zayn Malik is bald now, and fans are in deep, deep mourning2026-04-08 00:43
'Braided' eyebrows are the latest absurd beauty trend that truly anyone can try2026-04-08 00:22
Teacher absolutely nails it with new homework policy2026-04-08 00:03
'French Banksy' portrait on the U.S.2026-04-08 00:02
Fitbit partnership brings diabetes monitoring to the Ionic smartwatch2026-04-08 00:00
Very bad summer at the box office ends with a very, very bad Labor Day2026-04-07 23:43
Singapore gets world's first driverless taxis2026-04-07 23:23
Guy crying during an interview for his dream job teaches us a very important lesson2026-04-07 23:04