![]() Today’s blog post will focus on the first step of the enrollment process: creating a custom dataset of example faces. We call it “enrollment” because we are “enrolling” and “registering” the user as an example person in our dataset and application. This process is typically referred to as facial recognition enrollment. To accomplish this, we need to gather examples of faces we want to recognize and then quantify them in some manner. ![]() You’ll be able to use next week’s blog post to create your facial recognition application.īut for most of us, we’ll instead want to recognize faces that are not part of any current dataset and recognize faces of ourselves, friends, family members, coworkers and colleagues, etc. ![]() If you are already using a pre-curated dataset, such as Labeled Faces in the Wild (LFW), then the hard work is done for you. …but before we can train our model to recognize faces in images and video streams we first need to gather the dataset of faces itself. In the next couple of blog posts we are going to train a computer vision + deep learning model to perform facial recognition… Click here to download the source code to this post
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