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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Age And Gender Recognition Based On Caffe Deep Learning Module |
| Authors Name: | M.D.Charan , A.Dineshkumar , Mrs.P.Divya |
| Download E-Certificate: | Download |
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IJNRD_216837
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| Published Paper Id: | IJNRD2404247 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | The ‘Gender and Age Detection’ is a machine learning project based on computer visioning. Through this Data Science Project, it is based on the practical application of CNN i.e., the convolutional neural networks, this use models that are trained by ‘Tal Hassner’ and ‘Gil Levi’ for ‘Adience’ dataset. Along with this, it uses some files such as –. pb, prototxt, .pbtxt, & .Caffe model files. It’s a very practical project as you will create a model that can detect any human being’s age & gender through analyses of single face detection via an image. So, with this gender classification in a man or a woman can be classified. Also, the age can be classified among the ranges of 0-2/ 4-6/ 8- 2/ 15-20/ 25-32/ 38-43/ 48-53/ 60-100.we implement classification model for gender recognition and regression model for age recognition, which will predict the better accuracy needed for this project. Age and gender recognition technologies leverage various methods, including image processing and machine learning algorithms, to analyze facial features and determine a person's age and gender. While HTML (Hypertext Markup Language) itself is primarily used for structuring the content of web pages, the implementation of age and gender recognition typically involves a combination of HTML with other technologies, such as JavaScript and server-side programming languages. Here's an abstract outlining the potential uses of HTML in the context of age and gender recognition: In conclusion, HTML serves as the cornerstone for developing intuitive and user-friendly interfaces in age and gender recognition applications. Its role in structuring content, handling user interactions, and facilitating communication with backend services underscores its significance in creating a cohesive and engaging experience for users interacting with these innovative technologies. Furthermore, HTML supports the integration of APIs (Application Programming Interfaces) that connect web applications with external services, allowing seamless communication between the frontend and backend components. |
| Keywords: | Data Science, Artificial Intelligence, Machine Learning, Hyper Text Markup Language, Convolutional Neural Network, Deep Learning, Deep Neural Network, Prototxt-Prototype Text, Computer vision, Numerical Python, Lightning Memory-Mapped Database, Application Programming Interface, -Hierarchical Data Format, Caffe Module, Classification, Regression, Data Preprocessing, Accuracy. |
| Cite Article: | "Age And Gender Recognition Based On Caffe Deep Learning Module", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c162-c167, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404247.pdf |
| Downloads: | 00027 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404247 Registration ID: 216837 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: c162-c167 Country: Villupuram , Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404247 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404247 |
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ISSN: 2456-4184
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