Convolutional network based animal recognition using YOLO and darknet.

Reddy, B. Karthikeya; Bano, Shahana; Reddy, G. Greeshmanth; Kommineni, Rakesh; Reddy, P. Yaswanth

Abstract

In general, the manual detection of animals with their names is a very tedious task. To overcome this challenge, this research work has developed a YOLOV3 model to identify the animal present in the image given by user. The algorithm used in YOLOV3 model is darknet, which has a pre-trained dataset. The overall performance of the model is based on different training images and testing images of the dataset. The main goal of this research work is to build an animal recognition methodology using YOLOV3 model. The image of animal will be given as input, then it will display the name of the animal as output by using YOLOV3 model. The detection is done by using a pre-trained coco dataset from darknet.

Citation

REDDY, B.K., BANO, S., REDDY, G.G., KOMMINENI, R. and REDDY, P.Y. 2021. Convolutional network based animal recognition using YOLO and darknet. In Proceedings of the 6th International conference on inventive computation technologies (ICICT 2021), 20-22 January 2021, Coimbatore, India. Piscataway: IEEE [online], pages 1198-1203. Available from: https://doi.org/10.1109/ICICT50816.2021.9358620

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 6th International conference on inventive computation technologies (ICICT 2021)
• Start Date: Jan 20, 2021
• End Date: Jan 22, 2021
• Acceptance Date: Jan 20, 2021
• Online Publication Date: Feb 26, 2021
• Publication Date: Dec 31, 2021
• Deposit Date: Sep 19, 2023
• Publicly Available Date: Sep 19, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 1198-1203
• ISBN: 9781728185026
• DOI: https://doi.org/10.1109/ICICT50816.2021.9358620
• Keywords: Convolutional neural networks; Object recognition; Image recognition; Machine learning
• Public URL: https://rgu-repository.worktribe.com/output/2064004