YOLO Algorithm Based Real-Time Object Detection
Suparna biswas, Priya Kumari, Sonali  Mitra, Riya Sarkar, Sheik Md. Kadir, Sayan Roy Chaudhuri
YOLO, Object Detection, Neural Network, Bounding Boxes, OpenCV
The main objective of Real time object detection is to find the location of an object in a given picture accurately and mark the object with the appropriate category. In this paper we have used real time object detection You Look Only Once (YOLO) algorithm to train our machine learning model. YOLO is a clever neural network for doing object detection in real time and with the help of COCO Dataset the algorithm is trained to identify different objects in a particular image. After training this technique detect the object in real time with 90% accuracy.
Article Details
Unique Paper ID: 151577

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 348 - 350
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