DataHour: YOLO Object Detection using Python

DataHour: YOLO Object Detection using Python

05 Feb 202307:02am - 05 Feb 202308:02am

DataHour: YOLO Object Detection using Python

About the Event

Object detection is a phenomenon in computer vision that involves the detection of various objects in digital images or videos. One of the popular algorithms used for object detection is YOLO that uses neural networks to provide real-time object detection. This algorithm is popular because of its speed and accuracy. It has been used in various applications to detect traffic signals, people, parking meters, and animals. 

In this DataHour, Tanu will explain how to detect objects using the Yolo model, working login as well as its implementation in python. She will further explain the three techniques on which the YOLO model works: Residual Block, Bounding Box Regression and Intersection using IOU. Also, Implementation and the application of Yolo Model in terms of the code will also be demonstrated.


Prerequisites: 
Zeal of learning Data Science and basic understanding of Python programming language.

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About the Speaker

Tanu Solanki

Tanu Solanki

Data Science Manager in Capgemini

Tanu is currently working as a Data Science Manager in Capgemini, holding B. Tech, M.Tech and PhD. (Computer Science) degrees. She has written many Springer Book chapters on current technologies being used, and also published SCEI indexed papers.

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