Benefits

1. Customized Results
   
   Face Analytics offers you the ability to enable or disable the attributes that you require the predictions for. You can enable or disable smile detection, age detection, or gender detection as per your needs. You can also select a landmark localization mode, and enable the coordinates prediction for the facial features that you require.
2. Confidence Score for Each Prediction
   
   The confidence score provided for each prediction helps the user verify the level of accuracy of the prediction. The end user can analyze the confidence score and make informed decisions based on the accuracy of the result. The confidence score also helps them decide on providing better quality input for more accurate results.
3. Accuracy of Results
   
   Zia is an AI-driven assistant that undergoes repeated systematic training to generate results with higher accuracy and a lower error margin. The AI is trained using various machine learning techniques to perform complex computations and analysis. The training model is highly vigorous, which means it studies and analyzes large volumes of data, and this ensures that the results generated are precise, accurate, and reliable.
4. Rapid Performance
   
   Face Analytics generates results almost instantaneously when the image is uploaded. Catalyst ensures a high throughput of data transmission and a minimal latency in serving requests. The fast response time enhances your application’s performance, and provides a satisfying experience for the end user.
5. Seamless Integration
   
   You can easily implement Face Analytics in your application without having to learn the complex processing of the machine learning algorithms or the backend set-up. You can implement the ready-made code templates provided for the Java and Node.js platforms in any of your Catalyst applications that requires Face Analytics.
6. Testing in the Console
   
   The testing feature in the console enables you to verify the efficiency of Face Analytics. You can upload sample images and view the results. This allows you to get an idea about the format and accuracy of the response that will be generated when you implement it in your application.