{"title":"Python中人脸检测方法的比较分析","authors":"D.V. Kuznetsov, A.N. Bereza, N. Dmitrienko","doi":"10.18411/trnio-01-2023-405","DOIUrl":null,"url":null,"abstract":"In this article, the authors conducted a comparative analysis of face detection methods in Python. In the introduction, the problem of face detection was described. In the main part, the authors presented information about methods and the tests for effectiveness. Dataset LFW was used for testing, and the results were summarized in the conclusion.","PeriodicalId":24064,"journal":{"name":"ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative analysis of face detection methods in Python\",\"authors\":\"D.V. Kuznetsov, A.N. Bereza, N. Dmitrienko\",\"doi\":\"10.18411/trnio-01-2023-405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, the authors conducted a comparative analysis of face detection methods in Python. In the introduction, the problem of face detection was described. In the main part, the authors presented information about methods and the tests for effectiveness. Dataset LFW was used for testing, and the results were summarized in the conclusion.\",\"PeriodicalId\":24064,\"journal\":{\"name\":\"ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18411/trnio-01-2023-405\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18411/trnio-01-2023-405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative analysis of face detection methods in Python
In this article, the authors conducted a comparative analysis of face detection methods in Python. In the introduction, the problem of face detection was described. In the main part, the authors presented information about methods and the tests for effectiveness. Dataset LFW was used for testing, and the results were summarized in the conclusion.
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