Performance Analysis of Object Detection Algorithms for Waste Segregation

Performance Analysis of Object Detection Algorithms for Waste Segregation. Singh, N., Sastry, P., B S, N., Sinha, A., & V, U. In 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), pages 940–945, Coimbatore, India, February, 2023. IEEE.

Paper doi abstract bibtex

The amount of waste generated in urban cities is increasing at an alarming rate and its effective and efficient management has become nearly impossible. To combat this issue, this study has compared different object detection algorithms applied on data containing trash with no cluttered background, so as to first evaluate the different algorithms only on the basis of their inherent performance. The algorithms used for training are YOLOv5, EfficientDet and Faster RCNN. Using mAP(Mean Average Precision) as the evaluating metric, this study has found that YOLOv5 with mAP of 0.92 has outperformed EfficientDet and Faster RCNN, whose mAP was 0.846 and 0.836 respectively.

@inproceedings{singh_performance_2023,
	address = {Coimbatore, India},
	title = {Performance {Analysis} of {Object} {Detection} {Algorithms} for {Waste} {Segregation}},
	isbn = {978-1-66546-216-7},
	url = {https://ieeexplore.ieee.org/document/10073863/},
	doi = {10.1109/ICAIS56108.2023.10073863},
	abstract = {The amount of waste generated in urban cities is increasing at an alarming rate and its effective and efficient management has become nearly impossible. To combat this issue, this study has compared different object detection algorithms applied on data containing trash with no cluttered background, so as to first evaluate the different algorithms only on the basis of their inherent performance. The algorithms used for training are YOLOv5, EfficientDet and Faster RCNN. Using mAP(Mean Average Precision) as the evaluating metric, this study has found that YOLOv5 with mAP of 0.92 has outperformed EfficientDet and Faster RCNN, whose mAP was 0.846 and 0.836 respectively.},
	language = {en},
	urldate = {2023-09-24},
	booktitle = {2023 {Third} {International} {Conference} on {Artificial} {Intelligence} and {Smart} {Energy} ({ICAIS})},
	publisher = {IEEE},
	author = {Singh, Naman and Sastry, Pranav and B S, Niharika and Sinha, Arka and V, Umadevi},
	month = feb,
	year = {2023},
	pages = {940--945},
}

Downloads: 0

{"_id":"X86nQgjcSfL4kRYK8","bibbaseid":"singh-sastry-bs-sinha-v-performanceanalysisofobjectdetectionalgorithmsforwastesegregation-2023","author_short":["Singh, N.","Sastry, P.","B S, N.","Sinha, A.","V, U."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","address":"Coimbatore, India","title":"Performance Analysis of Object Detection Algorithms for Waste Segregation","isbn":"978-1-66546-216-7","url":"https://ieeexplore.ieee.org/document/10073863/","doi":"10.1109/ICAIS56108.2023.10073863","abstract":"The amount of waste generated in urban cities is increasing at an alarming rate and its effective and efficient management has become nearly impossible. To combat this issue, this study has compared different object detection algorithms applied on data containing trash with no cluttered background, so as to first evaluate the different algorithms only on the basis of their inherent performance. The algorithms used for training are YOLOv5, EfficientDet and Faster RCNN. Using mAP(Mean Average Precision) as the evaluating metric, this study has found that YOLOv5 with mAP of 0.92 has outperformed EfficientDet and Faster RCNN, whose mAP was 0.846 and 0.836 respectively.","language":"en","urldate":"2023-09-24","booktitle":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","publisher":"IEEE","author":[{"propositions":[],"lastnames":["Singh"],"firstnames":["Naman"],"suffixes":[]},{"propositions":[],"lastnames":["Sastry"],"firstnames":["Pranav"],"suffixes":[]},{"propositions":[],"lastnames":["B","S"],"firstnames":["Niharika"],"suffixes":[]},{"propositions":[],"lastnames":["Sinha"],"firstnames":["Arka"],"suffixes":[]},{"propositions":[],"lastnames":["V"],"firstnames":["Umadevi"],"suffixes":[]}],"month":"February","year":"2023","pages":"940–945","bibtex":"@inproceedings{singh_performance_2023,\n\taddress = {Coimbatore, India},\n\ttitle = {Performance {Analysis} of {Object} {Detection} {Algorithms} for {Waste} {Segregation}},\n\tisbn = {978-1-66546-216-7},\n\turl = {https://ieeexplore.ieee.org/document/10073863/},\n\tdoi = {10.1109/ICAIS56108.2023.10073863},\n\tabstract = {The amount of waste generated in urban cities is increasing at an alarming rate and its effective and efficient management has become nearly impossible. To combat this issue, this study has compared different object detection algorithms applied on data containing trash with no cluttered background, so as to first evaluate the different algorithms only on the basis of their inherent performance. The algorithms used for training are YOLOv5, EfficientDet and Faster RCNN. Using mAP(Mean Average Precision) as the evaluating metric, this study has found that YOLOv5 with mAP of 0.92 has outperformed EfficientDet and Faster RCNN, whose mAP was 0.846 and 0.836 respectively.},\n\tlanguage = {en},\n\turldate = {2023-09-24},\n\tbooktitle = {2023 {Third} {International} {Conference} on {Artificial} {Intelligence} and {Smart} {Energy} ({ICAIS})},\n\tpublisher = {IEEE},\n\tauthor = {Singh, Naman and Sastry, Pranav and B S, Niharika and Sinha, Arka and V, Umadevi},\n\tmonth = feb,\n\tyear = {2023},\n\tpages = {940--945},\n}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","author_short":["Singh, N.","Sastry, P.","B S, N.","Sinha, A.","V, U."],"key":"singh_performance_2023","id":"singh_performance_2023","bibbaseid":"singh-sastry-bs-sinha-v-performanceanalysisofobjectdetectionalgorithmsforwastesegregation-2023","role":"author","urls":{"Paper":"https://ieeexplore.ieee.org/document/10073863/"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"inproceedings","biburl":"https://bibbase.org/zotero/mahmud2222","dataSources":["4mQ7Z5xDSEaLtgnAe","oAC5ANiJZkJxj3CiM"],"keywords":[],"search_terms":["performance","analysis","object","detection","algorithms","waste","segregation","singh","sastry","b s","sinha","v"],"title":"Performance Analysis of Object Detection Algorithms for Waste Segregation","year":2023}