Would you like to start using the top three face pixelation APIs for dataset curation and distribution? Keep reading because in this article we will tell you more about it on which are the best APIs to do that.
We’ll eventually make public all the images we gather. Therefore, it is our ethical and moral responsibility to uphold each person’s right to privacy. When posting images online, there are various circumstances in which you may need to protect the identity of the person in question so that no one may quickly identify them from your post, article, etc. It’s everyone’s responsibilty to ensure that a beneficiary’s identity is protectected. The task belongs to the person who took the snapshot.
An API, commonly referred to as an application programming interface (API), is a set of operations and protocols that allow use of external software or other systems immediately. As a result, a face-blurring API functions by identifying faces in an input image and then blurring them out. When posting images on social media or other websites, this program makes it simpler for journalists, photographers, and anybody else who wants to safeguard a person’s identity.
Face blurring APIs are really important when it comes to dataset curation and distribution. Data needs to be organized and optimized for AI training and testing after it has been gathered. The main goal of modern data curation is to make your data more helpful by arranging and altering it in ways that are most likely to strengthen your models. And using face blurring APIs is a way of protecting your personal data and image in an easy manner.
So, if you need to use the top three APIs for face pixelation for dataset curation and distribution, we have prepared for you the following list. Do not hesitate and start using them right now!
Any face in an image can be hidden quickly and effectively using the popular face blurring application Face Blur API. Face Blur API forgoes the need for human face selection by using cutting-edge technology to recognize and blur every face in an image!
Face Blurr API uses artificial intelligence to digitally blur people’s faces in photos, hiding all faces of people, even those in the distance. Simply include the URL of the image that has to be updated as a parameter in the API request to make advantage of this API.
2. Face Blur API
A reliable and secure method for fast blurring faces is offered by the Face Blur API. This is because any faces in photographs are automatically detected and blurred by the software. The highest level of privacy is provided by this API because original images are never kept. Images are only retained in CDN in their final, blurred form.
3. Face Pixelizer
Face pixelization API uses Caffe models and deep neural network modules to detect faces in the provided image and provides a confidence score. Following the completion of this stage, the region of interest (ROI) is extracted from the image, the ROI is subjected to the pixelization filter, and the transformed image is then returned as a binary output.
Only a few lines of code on your end are required to provide all of this functionality. No error will be raised if no faces are found in the image. It will return the supplied image inaudibly.