Emotion, Gender and Age Recognition in Images and Videos

feel.ai is an API for emotion, gender and age-group recognition in images and videos. The API is based on state of the art patent-pending pattern recognition technologies developed by Neuromorphic using deep learning and biologically inspired Atificial Intelligence implemented on state of the art GPUs.
The API is accessible via REST HTTP.

Recognition in images   Try it!

Users can post images to the API and receive instantly classification results detected in the image. Images can be in any of the popular formats, including JPEG, PNG, GIF, and TIFF. The feel.api will automatically detect faces in the image and classify the emotion, gender and age-group of each face, returning the most likely classas well as the probabilities. The location of the faces in the picture are also returned in the response.

Recognition in Videos   Try it!

Users can post recognition requests in two modes:

Batch mode: Each request posted by a user is queued for execution by the API. The user can query the status of the job, and when it is completed, the recognition results are returned. Using the API facilities, the user can also inspect video analytics, including an emotion graph which shows post-processed aggregate emotion state, frame-by-frame in the video. The user has also access to media information extracted from the video which can facilitate the visulation of videos in common browsers.

Immediate mode: In this mode, the request is processed by the API immediately (i.e. the request is not queued, but handled by the API without being queued). The response time will depend on the duration of the video.