Implementing spot the differences game using Yolo algorithm.

Kondapaneni, Charan Sai; Teja, Modi Venkata Sai; Kavuri, Rohith; Tinnavalli, Deepika; Bano, Shahana

Abstract

The requirement for object detection has been expanding with computational force. Object identification is a technique that identifies the semantic class of the objects in the image or video. In this work, we talk about implementing an application that connects with the user and distinguishes the various objects present in two generally comparable images utilizing object recognition algorithms (YOLO algorithm). The user collaborates with the application through speech and recognizes the object. This execution has a precision of 70%. Object detection is one of the most demanding task in computer vision, and it involves in finding the type of the object and knowing the location in the image. Through object detection, we can achieve both object detection and tracking, whereas object tracking generally locks the moving object. However, YOLO is one if the top algorithm for object detection it gradually increased its accuracy with version updates one by one which helped it to become the best algorithm.

Citation

KONDAPANENI, C.S., TEJA, M.V.S., KAVURI, R., TINNAVALLI, D. and BANO, S. 2022. Implementing spot the differences game using YOLO algorithm. In Kumar, A., Ghinea, G., Merugu, S. and Hashimoto, T. (eds.) Proceedings of the 2021 International conference on cognitive and intelligent computing (ICCIC 2021), 11-12 December 2021, Hyderabad, India. Volume 1. Singapore: Springer [online], pages 707-719. Available from: https://doi.org/10.1007/978-981-19-2350-0_67

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2021 International conference on cognitive and intelligent computing (ICCIC 2021)
• Start Date: Dec 11, 2021
• End Date: Dec 12, 2021
• Acceptance Date: Nov 20, 2021
• Online Publication Date: Nov 1, 2022
• Publication Date: Dec 31, 2022
• Deposit Date: Jul 4, 2024
• Publicly Available Date: Jul 4, 2024
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 707-719
• Series Title: Cognitive science and technology
• Series ISSN: 2195-3988 ; 2195-3996
• Book Title: Proceedings of the 2021 International conference on cognitive and intelligent computing (ICCIC 2021), 11-12 December 2021, Hyderabad, India. Volume 1
• ISBN: 9789811923494
• DOI: https://doi.org/10.1007/978-981-19-2350-0_67
• Keywords: Object detection; Speech recognition; Object classification
• Public URL: https://rgu-repository.worktribe.com/output/2063917