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YOLO-An Object Detection Algorithm


Affiliations
1 Department of Computer Applications, National Institute of Technology, Kurukshetra, India
 

In this paper, an approach to object detection known as YOLO is presented. It is extremely fast. We use this algorithm to detect multiple objects in an image. The base YOLO model processes image in real-time at 45 frames per second. YOLO outperforms other detection methods including R-CNN as it is more generalized. It works on various types of datasets including artworks.

Keywords

YOLO, Object Detection, RCNN.
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  • YOLO-An Object Detection Algorithm

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Authors

Bhawna Vohra
Department of Computer Applications, National Institute of Technology, Kurukshetra, India
Kapil Gupta
Department of Computer Applications, National Institute of Technology, Kurukshetra, India

Abstract


In this paper, an approach to object detection known as YOLO is presented. It is extremely fast. We use this algorithm to detect multiple objects in an image. The base YOLO model processes image in real-time at 45 frames per second. YOLO outperforms other detection methods including R-CNN as it is more generalized. It works on various types of datasets including artworks.

Keywords


YOLO, Object Detection, RCNN.

References