Images
in sentence
1809 examples of Images in a sentence
With our deep learning algorithm, it can automatically identify areas of structure in these
images.
We can then use this concept of similar images, and using similar images, you can now see, the computer at this point is able to entirely find just the fronts of cars.
You can see we now have 62 percent of our 1.5 million
images
classified correctly.
And using this kind of process for each of the different groups, we are now up to an 80 percent success rate in classifying the 1.5 million
images.
The photo montage consisted of
images
of South Korean students burning American flags, holding signs that said, "Yankee go home.
They chanted things like, "The flag and the artist, hang them both high," evoking
images
of lynching.
But then we have
images
of this bicycle graveyard that tell a more cautionary tale.
Well, let's take a look at some of the latest satellite
images
of China's solar power installations.
Instead they process images, traffic data, collected from a small number of low-resolution webcams in Nairobi streets, and then they use analytic software to predict congestion points, and they can SMS drivers alternate routes to take.
So I'm interested in the texture, but I'm more interested in the text and the
images
that we find within books.
So with encyclopedias, I could have chosen anything, but I specifically chose
images
of landscapes.
And with the material itself, I'm using sandpaper and sanding the edges so not only the
images
suggest landscape, but the material itself suggests a landscape as well.
So one of the things I do is when I'm carving through the book, I'm thinking about images, but I'm also thinking about text, and I think about them in a very similar way, because what's interesting is that when we're reading text, when we're reading a book, it puts
images
in our head, so we're sort of filling that piece.
We're sort of creating
images
when we're reading text, and when we're looking at an image, we actually use language in order to understand what we're looking at.
So you can imagine that with fMRI scanners today, we can decode the imagined words,
images
and dreams of those being scanned.
Seeking a collaborative and reflexive approach, I asked them to write their own words and ideas on prints of their own
images.
Those
images
were then shared in some of the classrooms, and worked to inspire and motivate other women going through similar educations and situations.
The greatest advantage to this method is the continuous flow of
images.
But darkness also creates
images
and thoughts that are not normal.
In its simplest terms, imagine this teaching process as showing the computers some training
images
of a particular object, let's say cats, and designing a model that learns from these training
images.
Once we know this, we knew we needed to collect a data set that has far more
images
than we have ever had before, perhaps thousands of times more, and together with Professor Kai Li at Princeton University, we launched the ImageNet project in 2007.
We downloaded nearly a billion
images
and used crowdsourcing technology like the Amazon Mechanical Turk platform to help us to label these
images.
At its peak, ImageNet was one of the biggest employers of the Amazon Mechanical Turk workers: together, almost 50,000 workers from 167 countries around the world helped us to clean, sort and label nearly a billion candidate
images.
In 2009, the ImageNet project delivered a database of 15 million
images
across 22,000 classes of objects and things organized by everyday English words.
We applied this algorithm to millions of Google Street View
images
across hundreds of American cities, and we have learned something really interesting: first, it confirmed our common wisdom that car prices correlate very well with household incomes.
Some of these
images
are degraded
images
of black people, kind of histories of very challenging content, and where better than a neighborhood with young people who are constantly asking themselves about their identity to talk about some of the complexities of race and class?
As a photographer, I took thousands of images, and after two months, the two politicians came together, had a cup of tea, signed a peace agreement, and the country moved on.
My friends and family thought I was crazy because of what I did, and the
images
that I took were disturbing my life.
The
images
that I took were just a number to many Kenyans.
And so I decided to actually start a street exhibition to show the
images
of the violence across the country and get people talking about it.
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