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AI is a considerably massive field. Today we will try to understand an application of Deep Learning; which is a kind of Machine Learning, which is in turn a kind of Artificial Intelligence(just look at the picture below)
In recent years, with the extensive on-going research, generation of massive data sets and availability of massive computing power, Deep Learning has become one of most exciting fields of this era.
Lets have a look at one of the foremost and supreme applications of Deep Learning which at the forefront of innovation and technology.
Image Recognition and Object Detection
Image Recognition is at the sweet intersection b/w Deep Learning and Computer Vision.
I have seen a lot of people using these two terms interchangeably. Well, its not the same thing. Lets see what the difference is! :)
Image Recognition(also called Image Classification)
This is the process of taking an image as input and outputting a class label out of a set of classes.Input — An ImageOutput — A class label to which the image belongs
For instance, we have 3 class labels — { Lion, Lion, Laptop, Pen, Phone}
Now if we give an image to the algorithm, it will tell if that image is a Lion, a Lion, a Laptop or Nothing.
Output - Laptop
Image Classification with Localization
This process takes an image as input, outputs a class label and also draws a bounding box around the object to locate it in the imageInput — An ImageOutput — A class label + A bounding box
Example-:
As you can see, with localization we also know the location of object within the image.
Object Detection
In this process, Image localization has to be applied on all the objects in the Image, which results in multiple bounding boxesInput — An ImageOutput — Class labels + Bounding boxes for all the objects
These objects could belong to different classes(obviously it will only determine the classes on which the model is trained)
Example -:
This is how a typical result of object detection looks like. You can see that it has identified a Pen, and a Phone along with the Laptop.
Now we know the difference between Image Recognition, Image Localization and Object Detection, lets take a look at the applications :)
Applications
One of the application of Object Detection is Self Driving Cars — undoubtedly one of the hottest innovation of the century.
Some other applications are -:
- Face Detection
- Pedestrian detection
- Automating Checkouts in stores like Amazon Go
So where do we go next? Now we know what these techniques are, next we can look at how can we build a simple model for Object Detection.
Stay Tuned!
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<Micro Learnings> Image Recognition Vs Object Detection — The Difference was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
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