YOLO Object Detection Explained | What Is It? | STT
YOLO or You Only Look Once is a real-time object detection algorithm. Image classification applications fall under convolutional neural networks. YOLO is one of the most effective and popular methods and that is thanks to the most innovative ideas from the computer vision research community.
Simple image classification and Object Detection are quite different and pose an exciting challenge for this community. Object detection is mostly associated with self-driving cars and video surveillance. This method is concentrating on a speed-oriented solution rather than an accuracy-oriented solution.
Let's start with Image classification to understand the concept of object detection.
Image classification assigns an image to an object which can be a car, dog, or bus. Thus, it only answers the question: What is in the image? It only works on the image with one object and does not indicate where the object is.
Then comes Object localization which lets us locate the object in the image. Thus, answering questions: what is it and where is it?
Our real-world scenarios do not limit to a single object. Let us take self-driving car, for instance, it needs other car locations, signs, traffic lights, and humans to perform actions on all this information.
This is where Object Detection comes in. In object detection, you work towards recognizing what and where all the objects are in the image by putting them in bounding boxes. The main difference is that it recognizes “all” the objects.
What is YOLO Object Detection?
YOLO is designed in Darknet which is an open-source neural network framework that is written in CUDA and C. It is created and developed by Joseph Redmon. It was introduced in Computer Vision and Pattern Recognition (CVPR) 2016. It outlines object detection as a regression problem instead of a grouping issue. YOLO has many variants like YOLOv3, tiny YOLO, and so on.
YOLO can apply a single neural network to the full image. It then divides the image into regions. These regions further get predicted through bound boxes and probabilities. YOLO is admired because it not only achieves accurate data, but it is able to do so in real-time.
With only one forward propagation pass through the neural network, it makes the predictions. With non-max suppression, that is, the object detection algorithm only detects each object once, it then puts together recognized objects with the bounding boxes.
Applications of YOLO Object Detection
Vehicle detection – In an image as well as in real-time, YOLO is able to detect all kinds of vehicles like bus, car, tractor, train, bicycle, and truck. It detects the vehicle puts it in the bounding box with probability of detection and the type of vehicle it is.
Animal detection – It is a possibility that YOLO may be used to detect different types of animals in the forest. It can already detect zebra, cat, giraffe, dog, elephant, sheep, bird, cow, bear, the horse in the images, real-time camera feed as well as recorded videos.
Detecting Vegetables, Food items, and Fruits – From pictures, image feed, and recorded videos YOLO can already detect a series of consumable items like orange, banana, apple, carrot, broccoli, hot dog, sandwich, pizza, and cake.
Person Detection – Different industries have different priorities when it comes to detecting individuals. In a normal scenario, this means security applications that track everyone’s whereabouts including who is present where, and when to make sure safety systems keep individuals out of harm’s way. This can vary in terms of individual detection or facial recognition where it can detect a human and not a particular individual.
looking at the application of YOLO looks profitable to many organizations ranging from retail to commercial as well as industrial areas.
_________________________________________________________________________________________
Fintelics is an AWS Advanced Tier Consulting Partner. The company has also been awarded 'Best FinTech Consultancy - Ontario' and 'Leading Expert in Fullstack Omnichannel Software Development' by Wealth & Finance Magazine.
You can learn more about Fintelics by:
Visiting our website: https://www.fintelics.com/
Following us on LinkedIn: https://www.linkedin.com/company/fint...
Liking our Facebook Page: / fintelics
#YoloObjectDetection #ObjectDetection #YouOnlyLookOnce