Free Online Face Detection Courses and Certifications 2024

Edureka's Python training course on Face Detection with Python Face and Body Detection is the perfect way to get started with face and body detection. Learners can also detect poses with the help of a video tutorial and a code to get started. Additionally, Edureka offers a range of Masters Programs related to Python, DevOps, Cloud Architect, Data Scientist, Big Data Architect, Machine Learning Engineer, Business Intelligence, RPA Developer, Web Development, Computer Science Bootcamp, Cyber Security, Automation Testing Engineer, and Azure Cloud Engineer. So, don't miss out on this amazing opportunity to learn and get certified in Python Face and Body Detection.

Are you looking to learn Face Recognition Python Project and Face Detection Using OpenCV Python? WsCube Tech provides learners with a complete tutorial on this topic. This playlist contains all the videos of the Top Python Project for Advanced Level. WsCube Tech is a leading Web, Mobile App & Digital Marketing company and institute in India, offering advanced online courses to help learners learn new skills and improve existing ones. For more information, call WsCube Tech or visit their website, Instagram, Twitter, Facebook, LinkedIn, and Youtube channels.

This course is perfect for anyone interested in learning how to build a face detection model using Python and Tensorflow. Learners will be guided through the process of collecting images, annotating them, partitioning and augmenting data, building and training a deep learning model, and testing and performing real-time detections. The course also provides learners with the code and links to resources needed to complete the course. Learners will also have the opportunity to connect with the instructor, Nick, on LinkedIn, Facebook, GitHub, and Patreon, as well as join the discussion on Discord. Don't miss out on this great opportunity to learn how to build a face detection model with Python and Tensorflow!

This course is perfect for those looking to upgrade their employee attendance system. It teaches learners about the Employee Attendance Monitoring System using Face Recognition, which is quicker, multi-employee, easy to manage, tamper-proof, touchless, automated time tracking, cost-effective, and can recognize multiple people in a single frame. It is an upgrade from biometric to Face Recognition Attendance Management. Learners can find out more information by visiting the website or contacting the company. Don't miss out on this great opportunity to upgrade your employee attendance system!

Explore the essentials of Face Recognition with Real Time Database | 2 Hour Course | Computer Vision

Get a comprehensive overview of Object Detection 101 Course - Including 4xProjects | Computer Vision

This course provides a unique opportunity for new learners to develop their own computer vision flask desktop application project using machine learning, Python, and deploy it in the cloud. Learners will be guided through the process of installing Python and the necessary libraries, as well as learning image processing techniques in OpenCV and the mathematical concepts behind the images. They will also learn how to extract features from images using deep neural networks, train different deep learning models like convolutional neural networks, and write code for performing predictions with the CNN model. Finally, learners will develop a desktop application and make predictions to live video streaming. With Face Mask Recognition: Deep Learning based Desktop App, learners can gain the skills to build their own computer vision project and deploy it in the cloud.

This course provides a comprehensive guide to mastering facial recognition in .NET/C# using Aforge and Accord. It offers a step-by-step approach to learning, with detailed audio and visual presentations, and provides learners with the knowledge to design and develop other types of object/shape detection. Learners will gain an understanding of project setup, image filters, shape and face detection, camera and picture validation, background detection, and user interface design. Additionally, learners will gain insight into different use cases of the learning outcomes for desktop applications, web solutions, and service-oriented architecture. Click this course to master facial recognition in .NET/C# using Aforge and Accord.

This course is the ultimate guide for beginners to learn about face detection and recognition techniques. It covers topics such as detection of faces using Haarcascade, HOG, MMOD, and SSD, as well as detection of other objects, such as eyes, smiles, clocks, bodies, and cars. It also covers recognition of faces using Eigenfaces, Fisherfaces, LBPH, and advanced Deep Learning techniques. Learners will learn how to compare the performance of the algorithms and build their custom dataset capturing faces via webcam. With more than 60 lectures and 8 hours of step by step videos, this course is the perfect way to get started with facial detection and recognition.

This course is designed to teach intermediate Python programmers how to create an end-to-end application that can detect smiles in images and videos. With this course, learners will learn to use deep learning and train a convolutional neural network on the SMILES dataset. After training the network, learners will use Haar cascades to detect a face in an image, extract the face region from the image, pass the face region to the network for classification, and annotate the image with the label "smiling" or "not smiling". By the end of the course, learners will have a fully functional smile detection application that they can use in their own projects. So, if you are an intermediate Python programmer looking to learn how to create a smile detection application, this course is for you!

REWA Academy's iPhone Face ID Repair Course is the perfect way to learn the workflow and troubleshooting of Face ID components. This comprehensive course includes 10 video and PDF lessons, as well as 60 minutes of instruction on how Face ID works and how to repair it. Learners will gain reference processes for Face ID workflow and troubleshooting, small tips for checking Face ID, repair reference processes for the earpiece speaker, jail break steps with replacing the earpiece, dot projector repair reference processes, fast tutorials for repairing the dot projector, IR camera flex replacement, wire jumping, and motherboard issues. With the help of REWA Academy's online and offline courses, new learners can become a qualified repair technician in no time.

This course is perfect for those looking to gain a basic knowledge of Python and the FaceDetect framework. Learners will learn how to detect and recognize faces in images, videos and webcams, draw facial features, and extract detected faces from images, videos and webcams. With this course, enthusiasts can explore face recognition and include it in their applications. It is a great opportunity to gain an understanding of the principles that the FaceDetect framework uses to approach face detections and recognitions, as well as the ability to set up a Python environment capable of running the FaceDetect framework.

This course is designed to help new learners understand the concepts of face detection and recognition from a SQL Database using C#. Learn how to create a database, assign fields, and establish relationships between primary fields and other fields. Additionally, the course covers the face training module, allowing users to capture faces from a real-time camera, train faces, and save information to the database. The face recognition module is also covered, which checks user faces from a real-time camera and matches them with the stored database images. Enroll in this course to gain the skills to detect and recognize faces from a SQL Database using C#. For those who have not taken the previous course on face recognition from OpenCV, the course code is provided.

This course is perfect for those looking to learn how to build a celebrity face recognition application. It provides a strong foundation in face recognition systems, covering topics such as understanding of face recognition, training a model to recognize a celebrity face, predicting celebrity name for a given celebrity image, and using the Support Vector Machine classification algorithm and Histogram of Oriented Gradients. Learners will gain a powerful skill at their fingertips, as well as the knowledge to become a face recognition system developer, which is in high demand. With challenges to reinforce concepts and solutions to validate the challenges, this course is the perfect way to learn how to build a celebrity face recognition application.

This course, Deep Learning in Practice III: Face Recognition, is designed to provide learners with a comprehensive introduction to face recognition with deep learning. Anis Koubaa will guide learners through the whole loop of face recognition systems, from extracting the face from an image to creating a fingerprint of the face. Learners will also learn how to develop a Python application that performs the operations. This course is essential due to the importance of face recognition systems in real-world applications. With basic knowledge of Python programming and a basic understanding of deep learning and TensorFlow, learners will be able to develop their own applications and integrate them into their projects. Don't miss this opportunity to learn the fundamentals of face recognition with deep learning!

This course is designed to provide new learners with an introduction to face recognition using Python. It covers topics such as Python Deep Learning based Face Detection, Face Recognition, Emotion, Gender and Age Classification, as well as popular models such as Haar Cascade, HOG, SSD, MMOD, MTCNN, EigenFace, FisherFace, VGGFace, FaceNet, OpenFace, and DeepFace. Learn how to prepare your computer for Python coding, install the necessary dependencies and libraries, detect faces from images and videos, customize the face detection program, and recognize facial expressions using pre-trained deep learning models. With this Computer Vision: Face Recognition Quick Starter in Python course, you will be able to master the basics of face recognition in no time!