Age Range Estimation using MTCNN and VGG-Face Model
| العنوان: | Age Range Estimation using MTCNN and VGG-Face Model |
|---|---|
| المؤلفون: | Dipesh Gyawali, Prashanga Pokharel, Subodh Chandra Shakya, Ashutosh Chauhan |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, 021110 strategic, defence & security studies, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), 0211 other engineering and technologies, Computer Science - Computer Vision and Pattern Recognition, Pattern recognition, 02 engineering and technology, Convolutional neural network, Facial recognition system, Range (mathematics), Identification (information), Test set, Face (geometry), 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Artificial intelligence, business, Transfer of learning |
| الوصف: | The Convolutional Neural Network has amazed us with its usage on several applications. Age range estimation using CNN is emerging due to its application in myriad of areas which makes it a state-of-the-art area for research and improve the estimation accuracy. A deep CNN model is used for identification of people's age range in our proposed work. At first, we extracted only face images from image dataset using MTCNN to remove unnecessary features other than face from the image. Secondly, we used random crop technique for data augmentation to improve the model performance. We have used the concept of transfer learning in our research. A pretrained face recognition model i.e VGG-Face is used to build our model for identification of age range whose performance is evaluated on Adience Benchmark for confirming the efficacy of our work. The performance in test set outperformed existing state-of-the-art by substantial margins. 6 pages, 10 figures |
| اللغة: | English |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4615598c41a16d18033a0d874ecee9eTest http://arxiv.org/abs/2104.08585Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....d4615598c41a16d18033a0d874ecee9e |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |