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Therefore, the accuracy of the prediction model may decrease due to the enormous diversity and variability in the data. In this study, we use three models, including Unet, MobileNets, and EfficientNets, to test the performance of predicting a person\u2019s age and gender through their photos. In addition, we also adjust the learning rate parameter to find optimal performance. The best results for gender prediction are achieved by the Unet model with the highest accuracy of 97.22 %, and the MobileNets model gives age prediction results with MAE = 2.248, learning rate 0.001 for optimal performance in the models of our study.<\/jats:p>","DOI":"10.2478\/acss-2024-0018","type":"journal-article","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T13:12:35Z","timestamp":1733490755000},"page":"22-29","source":"Crossref","is-referenced-by-count":3,"title":["Age Prediction from Facial Images Using Deep Learning Architecture"],"prefix":"10.2478","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1386-1390","authenticated-orcid":false,"given":"Hai Thanh","family":"Nguyen","sequence":"first","affiliation":[{"name":"College of Information and Communication Technology , Can Tho University , Can Tho , Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7338-0520","authenticated-orcid":false,"given":"Linh Thuy Thi","family":"Pham","sequence":"additional","affiliation":[{"name":"Can Tho University of Technology , Can Tho , Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1874-4873","authenticated-orcid":false,"given":"Dung Thi","family":"Dang","sequence":"additional","affiliation":[{"name":"Can Tho University of Technology , Can Tho , Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3881-4376","authenticated-orcid":false,"given":"Son Nguyen","family":"Huynh","sequence":"additional","affiliation":[{"name":"Can Tho University of Technology , Can Tho , Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5826-6318","authenticated-orcid":false,"given":"Phu Hao","family":"Dang","sequence":"additional","affiliation":[{"name":"Can Tho University of Technology , Can Tho , Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6592-6402","authenticated-orcid":false,"given":"Quoc Thien Huynh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Can Tho University of Technology , Can Tho , Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2024,12,6]]},"reference":[{"key":"2026030517270863099_j_acss-2024-0018_ref_001","doi-asserted-by":"crossref","unstructured":"M. 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