Dating apps are depressing enough if you’re a straight man, but at least we don’t have to deal with a torrent of dick pics.
One notable exception is the state of Texas, thanks largely to lobbying from dating app Bumble.
Bumble also uses AI to block out to detect lewd images before they reach their destination.
Yesterday, its sister app Badoo launched a similar feature.
Known as “Private Detector,” the tool detects dick pics, nudes, and any other intimate pictures.
Algorithms then blur out the image, before warning the intended recipient that they’ve been sent “inappropriate content.” The user can then choose whether to view the pic, block it, or report it to the company.
Badoo announced the feature in a spoof infomercial starring UK rapper Big Narstie.
But note that we’d also appreciate a warning before we open the shot.
We found that practitioners generally had to choose between several algorithms, each with significant trade-offs such as robustness to different kinds of visual “noise” (for instance, texture), even in images much less complex than the natural images in ImageNet. For instance, this answer on StackOverflow claims “The problem [of curve detection], in general, is a very challenging one and, except for toy examples, there are no good solutions.” Additionally, many classical curve detection algorithms are too slow to run in real-time, or require often intractable amounts of memory..
Images that cause curve detectors to activate weakly, such as edges or angles, are a natural extension of the algorithm that InceptionV1 uses to implement curve detection.
Every time we use feature visualization to make curve neurons fire as strongly as possible we get images of curves, even when we explicitly incentivize the creation of different kinds of images using a diversity term.
Sightbit is harnessing AI to alert lifeguards to potential drowning incidents, as well as flagging other hazardous situations, such as unattended children and rip currents.
Sightbit recently launched its first commercial pilot program at Israel’s Palmachim Beach, which claims more than a million visitors during the summer season, and is currently being used alongside five lifeguards.
A number of other companies are working on proactive alert systems for lifeguards, including Sweden’s SwimEye, which has built a computer vision system that places a camera underwater in swimming pools, and Israel’s Coral Detection Systems, which offers a similar product.
While Sightbit’s technology could be deployed anywhere swimmers can be found — including pools — the company is initially targeting beaches.
But Eliav is confident the technology will prove itself, assuming it’s used correctly, and the company is currently planning additional pilots on beaches across the U.S and Europe.