As Yann LeCun, Yoshua Bengio, and Geoffroy Hinton (some of the foremost experts in the field) put it, machine learning can be used to «
identify objects in images, transcribe speech into text, match news items, posts or products with users» interests, and select relevant results of search».
A team of MIT neuroscientists has found that some computer programs can
identify the objects in these images just as well as the primate brain.
For the computer vision side, researchers train their systems on a massive dataset of images, so they learn to
identify objects in images.
Its software is capable of
identifying the objects in images, producing captions for the visually impaired.
VSCO's machine learning AI can
identify objects in an image and can even tell what emotion a photo is able to convey.
Not exact matches
Huawei's devices, which include the Kirin 970 AI chip, have a function on their camera app that can
identify an
object in a photo and adjust the camera's parameters to capture the ideal
image.
In January this year, it was announced that the lander had been identified in images taken by Nasa's Mars Reconnaissance Orbiter in 2013; these showed the lander as a glinting object, just a few pixels wide, about 5 km from the intended touchdown sit
In January this year, it was announced that the lander had been
identified in images taken by Nasa's Mars Reconnaissance Orbiter in 2013; these showed the lander as a glinting object, just a few pixels wide, about 5 km from the intended touchdown sit
in images taken by Nasa's Mars Reconnaissance Orbiter
in 2013; these showed the lander as a glinting object, just a few pixels wide, about 5 km from the intended touchdown sit
in 2013; these showed the lander as a glinting
object, just a few pixels wide, about 5 km from the intended touchdown site.
Our brain is so good at
identifying contours and
objects in images that it is sometimes deceived into seeing them even if they do not actually exist (such as the edges of the blue triangle
in the foreground of the figure).
VLA
Image of Small Portion of Extragalactic Space: About 2,000 discrete objects are identified in this VLA image of the distant Univ
Image of Small Portion of Extragalactic Space: About 2,000 discrete
objects are
identified in this VLA
image of the distant Univ
image of the distant Universe.
During training, a neural net continually readjusts thousands of internal parameters until it can reliably perform some task, such as
identifying objects in digital
images or translating text from one language to another.
To refine the target catalogue for the forthcoming Taipan Galaxy Survey, the
images of a large number of sources are being visually inspected
in order to
identify objects that are confused by a foreground sta... ▽ More Gravitationally lensed quasars are powerful and versatile astrophysical tools, but they are challengingly rare.
To refine the target catalogue for the forthcoming Taipan Galaxy Survey, the
images of a large number of sources are being visually inspected
in order to
identify objects that are confused by a foreground star or galaxies that have a distinct multi-component structure.
Adaptive optics
images made with ARIES at the MMT of 87 Kepler
Objects of Interest place limits on the presence of fainter stars
in or near the Kepler... ▽ More The Kepler mission has revolutionized our understanding of exoplanets, but some of the planet candidates
identified by Kepler may actually be astrophysical false positives or planets whose transit depths are diluted by the presence of another star.
Our sample of 107 YSO candidates was selected based on IRAC colors from the high spatial resolution, high sensitivity Spitzer / IRAC
images in the Central Molecular Zone (CMZ), which spans th... ▽ More We present results from our spectroscopic study, using the Infrared Spectrograph (IRS) onboard the Spitzer Space Telescope, designed to
identify massive young stellar
objects (YSOs)
in the Galactic Center (GC).
The galaxy, EGS - zs8 - 1, was originally
identified based on its particular colors
in images from Hubble and Spitzer and is one of the brightest and most massive
objects in the early universe.
The team showed that Kinect, the optical hardware from Microsoft, Inc., and
image - recognition algorithms used to
identify and track the location and orientation of
objects in its visual field could be adapted to locate and track the motions of a biopsy needle.
The researchers were able to
identify single neurons
in the PPC that fired when Sorto was presented with an
image of an
object to be grasped — a rock, say — and
identified a nearly completely separate class of neurons that responded when Sorto engaged
in motor imagery (the mental planning and imagined execution of a movement without the subject actually trying to move the limb).
This app also has built -
in image search technology that is sure to impress with its ability to
identify objects, including people.
After writing about the
objects and characters they have
identified in the artwork, families will draw their own
images and use them as collage elements to create a collaborative, remixed version of Shaw's installation.
Working
in parallel to Western pictorial traditions of landscape, Clare uses precise combination artist - made and collected sculptural
objects, photographic
images, event and documentation as vehicles to re-access, re-experience, re-stage,
identify, imagine.
In the case of the cameras, the new capabilities leverage the work of EyeEm, a German photography - software startup that trained the new V30's cameras on tens of millions of
images so it could
identify objects and scenes.
This gives each pixel a label to
identify objects in the background and foreground of an
image.
An obvious use case is museums: point your phone at a painting, the AR app
identifies the
image for you, and then it can also spawn a 3D
object or virtual experience
in the app based on whatever
image you're looking at.
At its I / O 2017 conference, Google today announced Google Lens, the next generation
in its
image recognition capabilities, allowing AI to easily
identify objects and locations
in your pictures, and
in turn enabling you to do some really cool things with them.