Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136103427> ?p ?o ?g. }
Showing items 1 to 57 of
57
with 100 items per page.
- W3136103427 abstract "Mankind has advanced technology to the extent that the 21st century is the crack of the dawn for unimaginable achievements. The aforementioned technology can be used for our benefit in identifying one’s age and even their gender just based on their glimpse from a camera, image and even a video. This research paper will methodically chalk out the whole procedure, multiple methodologies and algorithms that can be used, which one is the most accurate and how it all comes together. It will also stress on its importance and how it can be implemented to benefit our day to day life. The paramount objective of the paper is to build a gender and age detector that can approximately guess the gender and age of the face of an individual in a picture using Deep Learning on the audience dataset. Moreover, to get the most effective predictions and result by overcoming the problem of accuracy and time. Moreover, the map for the ways this technology can be used to our benefit and look at the huge spectrum where it can be implemented: ranging from security services, CCTV surveillance and policing to dating applications, matrimonial sites." @default.
- W3136103427 created "2021-03-29" @default.
- W3136103427 creator A5039962693 @default.
- W3136103427 creator A5042191244 @default.
- W3136103427 creator A5079647257 @default.
- W3136103427 date "2021-01-28" @default.
- W3136103427 modified "2023-09-27" @default.
- W3136103427 title "Gender and Age detection using Deep Learning" @default.
- W3136103427 cites W1905153633 @default.
- W3136103427 cites W2043417668 @default.
- W3136103427 cites W2113325037 @default.
- W3136103427 cites W2194775991 @default.
- W3136103427 cites W2579617530 @default.
- W3136103427 cites W2731793484 @default.
- W3136103427 cites W2766141193 @default.
- W3136103427 cites W2796809202 @default.
- W3136103427 cites W2921811193 @default.
- W3136103427 cites W2964137095 @default.
- W3136103427 cites W2970154784 @default.
- W3136103427 cites W3118977251 @default.
- W3136103427 cites W4214717370 @default.
- W3136103427 doi "https://doi.org/10.1109/confluence51648.2021.9377041" @default.
- W3136103427 hasPublicationYear "2021" @default.
- W3136103427 type Work @default.
- W3136103427 sameAs 3136103427 @default.
- W3136103427 citedByCount "2" @default.
- W3136103427 countsByYear W31361034272022 @default.
- W3136103427 countsByYear W31361034272023 @default.
- W3136103427 crossrefType "proceedings-article" @default.
- W3136103427 hasAuthorship W3136103427A5039962693 @default.
- W3136103427 hasAuthorship W3136103427A5042191244 @default.
- W3136103427 hasAuthorship W3136103427A5079647257 @default.
- W3136103427 hasConcept C108583219 @default.
- W3136103427 hasConcept C119857082 @default.
- W3136103427 hasConcept C154945302 @default.
- W3136103427 hasConcept C41008148 @default.
- W3136103427 hasConceptScore W3136103427C108583219 @default.
- W3136103427 hasConceptScore W3136103427C119857082 @default.
- W3136103427 hasConceptScore W3136103427C154945302 @default.
- W3136103427 hasConceptScore W3136103427C41008148 @default.
- W3136103427 hasLocation W31361034271 @default.
- W3136103427 hasOpenAccess W3136103427 @default.
- W3136103427 hasPrimaryLocation W31361034271 @default.
- W3136103427 hasRelatedWork W2922457425 @default.
- W3136103427 hasRelatedWork W3014300295 @default.
- W3136103427 hasRelatedWork W3164822677 @default.
- W3136103427 hasRelatedWork W3215138031 @default.
- W3136103427 hasRelatedWork W4223943233 @default.
- W3136103427 hasRelatedWork W4225161397 @default.
- W3136103427 hasRelatedWork W4250304930 @default.
- W3136103427 hasRelatedWork W4299487748 @default.
- W3136103427 hasRelatedWork W4309045103 @default.
- W3136103427 hasRelatedWork W4312200629 @default.
- W3136103427 isParatext "false" @default.
- W3136103427 isRetracted "false" @default.
- W3136103427 magId "3136103427" @default.
- W3136103427 workType "article" @default.