Gender-and-Age-Detection Objective : To build a gender and age detector that can approximately guess the gender and age of the person (face) in a picture or through webcam. About the Project : In this Python Project, I had used Deep Learning to accurately identify the gender and age of...
DeepFace also includes an anti-spoofing analysis module to understand given image is real or fake. To activate this feature, set theanti_spoofingargument to True in any DeepFace tasks. # anti spoofing test in face detectionface_objs=DeepFace.extract_faces(img_path="dataset/img1.jpg",anti_spoof...
Sex is a well-established modifier of immune responses36,37,38, and the global prevalence of active TB in males exceeds that in females with a ratio of 1.7 (ref.39). We sought to determine whether sex influenced the association of the SeroScore or the RISK6 signature with progression in ...
A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films. Sci. Rep. 9, 3840. https://doi.org/10.1038/s41598-019-40414-y (2019). Article ADS CAS PubMed PubMed Central Google Scholar Vinayahalingam, S., Xi, T., Bergé, S...
This research explore the integration and application of advanced deep learning models, specifically Convolutional Neural Networks (CNNs) and Vision Transformer (ViT) models, in the field of age and gender detection. The study begins by outlining the significance and challenges of accurate age and ...
A study of suggestions in opinionated texts and their automatic detection Proceedings of the fifth joint conference on lexical and computational semantics (2016), pp. 170-178, 10.18653/v1/S16-2022 View in ScopusGoogle Scholar Ni et al., 2021 L. Ni, Q. Bao, X. Li, Q. Qi, P. Denny,...
and compliance in the task relative to the direction version. Many of these changes were based on prior experience developing a visual change detection task for young children (Simmering,2012), and multiple changes were introduced simultaneously because the original goal was not a controlled comparison...
Moreover, the foundation models can be specialized to address specific areas such as emotion recognition and anomaly detection (Ouyang et al., 2022). Specialization in a specific field is achieved through the use of supervised learning techniques. Additionally, domain-specific foundation models often ...
Many studies has been conducted to estimate different forest (e.g., broadleaf and coniferous) biomass through optical satellite imagery [19,20,21], the Synthetic Aperture Radar (SAR) [6,22,23], Light Detection and Ranging (LiDAR) [24,25], or their combination [23,26,27,28,29]. More...
deep neural network are utilized as input for the Support Vector Regression (SVR) model, which is employed to estimate the brain age. This step is explained in Sect.2.4. To Alzheime’s disease detection, the model is tested on both healthy individuals and those diagnosed with Alzheimer's ...