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...
Code of conduct MIT license deepface DeepFace is a lightweightface recognitionand facial attribute analysis (age,gender,emotionandrace) framework for python. It is a hybrid face recognition framework wrappingstate-of-the-artmodels:VGG-Face,FaceNet,OpenFace,DeepFace,DeepID,ArcFace,Dlib,SFace,GhostFaceNe...
CompreFace is a free and open-source face recognition system that can be easily integrated into any system without prior knowledge of machine learning. It provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age and gend...
Of course, you must replace the Ocp-Apim-Subscription-Key with one of your own keys and the fake image URL with a real image address. In exchange, the Emotion recognition service will send back the result of detection as a JSON response, as...
Of course, you must replace the Ocp-Apim-Subscription-Key with one of your own keys and the fake image URL with a real image address. In exchange, the Emotion recognition service will send back the result of detection as a JSON response, as shown inFigure 3. ...
At the core of this project is the Raspberry Pi, specifically the 3 B+ model, though with the computational demands of computer vision you might want to bump it up to the latest-and-greatest Pi 4. From there you need to load up OpenCV and a model trained for face detection, which as...
Recently, technologies such as face detection, facial landmark localisation and face recognition and verification have matured enough to provide effective and efficient solutions for imagery captured under arbitrary conditions (referred to as “in-the-wild”). This is partially attributed to the fact ...
Prior research has identified associations between social media activity and psychiatric diagnoses; however, diagnoses are rarely clinically confirmed. Toward the goal of applying novel approaches to improve outcomes, research using real patient data is
Problems Exist in Object Detection There are two key points of face mask wearing detection. One is to locate the position of the face in the image; the other is to identify whether the face given by the data set is wearing a mask and if the mask is worn correctly. Problems of the ...
MS-Celeb-1M: A Dataset and Benchmark for Large Scale Face Recognition(100K people in 10M images) [paper] [dataset][result] [benchmark] [project] VGGFace2: A dataset for recognising faces across pose and age(9k people in 3.3M images) [paper] [dataset] ...