Home/ Image Recognition Software/ Azure Face API/ Reviews
81% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
The smart face recognition platform
27.3%
63.6%
9.1%
0%
0%
It is very easy to use. The documentation is very clear and easy to read. Integrating this API into my applications as well as calling it works flawlessly. The response it gives back is also very easy to use. Overall great API.
I honestly have no dislikes, Microsoft API's are always well done and easy to use. I have never had any real problems with using them.
I recommend just trying it out. Honestly the documentation has everything you need to get it working. Also there are alot of videos and tutorials online that anyone can use. Overall I would definitely recommend anyone that wants to use this to just try it.
I have used it to solve facial recognition issues with the applications I am trying to use. Ive made countless camera apps and apps to take picture and recognize facial expressions with this API.
1. Easy to integrate with any application
2. Relatively cheaper and simple code that can be effectively used for our applications
3. Comparison efficiency is much better
1. Image with a lesser quality would face a lower confidence score
2. Results should be available in a more user friendly manner
Definitely this is an upcoming area for the Microsoft Azure Cognitive Services. Will definitely recommend to all developers to try this once as Microsoft provides a 30 day trial for these services which will help us to understand the scope and level of usage of these services for our applications.These services are really useful for applications which have validations of images/ photos against any id proofs or to search image against social accounts of the specific user. In Face API services itself, there are group based and person based api's which also can be useful when we have multiple photos of the same person to be stored and need to compare against list .
Apps for Staff recruitment firm. When a user uploads his/her id proof , it is validated against the user's profile pic which will avoid the manual intervention of getting these validations.
I have integrated the Azure face API with my hackathon application, and it was amazingly simple to follow the instructions.
The rate limits and training image dataset limits are little too stringent
It is a really good place to start, but if you are planning to use it on a long run, or trying to use with a lot of data, I would not suggest going with this, as there are many other free APIs available
I was trying to build an application to help people with Alzheimers to recognize their friends and family
The idea that it could detect a person's age and gender is interesting in itself, but the aspect I find most intriguing is how it can detect human emotions. Using this Face API can be beneficial to many companies.
It cannot detect faces in videos. The maximum size of an image is 4MB. I think there should be more than 27 facial landmarks.
Definitely keep an eye out for the "preview pricing" when using Azure Face API.
A business can use this for customers who create accounts and upload their profile image to reduce the possibility of creating duplicate accounts. This can be beneficial to optimize database storage space when too many duplicate accounts could be created by multiple users.
Clear, spot on and easy to use with several processes
Can be slow at times and decrease productivity rates
Employee verification
We utilize Azure to offer our types of assistance to our clients that work with Microsoft. What I like the most about Azure is its AI apparatuses. Purplish blue is extremely effective with regards to AI There are alternatives to arrange the fundamental settings straightforwardly on the virtual machine sharp edge itself. Furthermore, versatile, ingenious, and is dependable and secure
The interface ought to be easier to understand. It is truly confounded for the amateurs. The incomplete windows that open in each progression is befuddling. It will be simpler without the part structure. It's anything but an extraordinary choice for nearby remaining burdens. While you can design it for nearby and cloud reinforcement it is lumbering and the detailing isn't the best. What's more, for the end-client when you don't have a web you will have no entrance to the assets.
Microsoft Azure is perhaps the best iaa cloud stages that we have utilized ever. You can immediately set up most Windows server applications with a high accessibility.You have options. With a promise to open-source and backing for all dialects and structures, assemble how you need and convey where you need to get security from the beginning, sponsored by a group of specialists and proactive consistence trusted by endeavors, governments, and new businesses
My involvement in Azure is by and large great and would prescribe this to other people. Microsoft has an extremely responsive client care
1. Easy integration
2. Very cheap and easy to code to merge with your application
3. Very efficient
1. Need high quality image for good results
2. Need certain technical knowledge to understand results
Comparing photos submitted by users to photos found online to validate original images versus stock images.
1.This application was made easy to integrate with other applications.
2. Reduced error rates on facial recognition for men and women of darker complexion.
1. Bad quality images or images at an angle still had issues with identifying faces.
Use this API over others if you need to identify people with darker complexion!
My team and I used this API to implement emotion recognition for in store customers when they are looking at a certain item. Based on this, we analyzed the correlation between facial emotions and the likelihood of a customer buying a certain product. The biggest benefit I saw in using the Azure Face API is that it returns the confidence across a set of emotions for each face in the image.
How it can obviously detect your face but I love how it can detect similar faces. Makes it fun not just a security api.
That it's a work in progress. Not the best yet but it'll get there.
Convenience. Good while driving or if your hands are tied to unlock your phone.
Looking for the right SaaS
We can help you choose the best SaaS for your specific requirements. Our in-house experts will assist you with their hand-picked recommendations.
Want more customers?
Our experts will research about your product and list it on SaaSworthy for FREE.
Azure Face API is an amazing tool because it allows developers to incorporate facial recognition technology in their software without requiring them to know anything about machine learning or computer vision. Developers who already use the Azure platform will be able to use this API within minutes. Simply send the picture(s) you would like to analyze in an API call, and Azure will return information about the faces in that picture as JSON. This is useful for recognizing facial expressions, emotions, and comparing faces.
The age estimation feature isn't very accurate yet. However, as time goes on, this will hopefully get better.
I use this API for a personal/school project where I wanted to activate a motor when a specific face was recognized.