Hacker Noon·4yHow to Authenticate a User via Face Recognition in Your Web Application
Authentication is a very crucial aspect of your web application. In the past, email password-based authentication was most popular and widely used. With the advancement of Artificial Intelligence (AI) and machine learning (ML), facial recognition techniques gain huge popularity. In this article, we are building a simple application to demonstrate how to authenticate a user using facial recognition.
Analytics Vidhya·4yFace Recognition System Using Python
This article focuses on implementing face recognition using the library face_recognition. It is built on deep learning techniques and promises accuracy greater than 96% using a single training image. The library can quickly locate and locate faces on its own, we don’t need to use haar Cascade and other techniques.
freeCodeCamp·4yLearn PyTorch for Deep Learning – Free 25-Hour Course
Learn PyTorch for Deep Learning: Zero to Mastery course is available online for free at learnpytorch.io. The course is comprised of 5 modules, best taken sequentially (but feel free to jump around) The focus of the course is code, code, and a willingness to learn. The magic of machine learning is building algorithms to find patterns in your own custom data.
Towards Dev·4yFace Detection in Mobile App using Python, Flask, and Flutter
In this blog, we will be looking at how to implement Face Detection in Mobile App using Python, Flask, and Flutter. You can think there are some platforms like ML-Kit to detect faces. This blog will be purely based on how to detect face on our own ML Algorithm using API.
Domino Data Lab·4yOpenCV Tutorial: Getting Started with OpenCV
Computer vision is an interdisciplinary subfield of artificial intelligence. It aims to mimic human cognitive functions to provide capabilities similar to human vision. This includes understanding the content of digital images, types of objects, and their relationships. In this article we talk about the foundations of Computer vision, the history and capabilities of the OpenCV framework.
KDnuggets·3y8 Best Python Image Manipulation Tools
Images can be defined as a matrix of pixels, and each pixel represents a color that can be treated as a data value. Image Processing comes in handy to uncover underlying data from any image. The main objective of image processing is to uncover some valuable information from images.
Hugging Face·4yIntroducing new audio and vision documentation in 🤗 Datasets
The to_tf_dataset function takes care of converting a dataset into a tf.data. Data is represented in richer formats like audio, images, and even a combination of audio and text. You can use Image folder to load an image dataset for nearly any type of image task if you have a metadata file with the required information.