In a project where we need to know the nutritional value of a food, we use the Vision to obtain the item's name using an image recognition Cliqora, and then we compute the nutrition value based on the food's components. The response time is quite quick, and integrating it with our application is very simple. Some of the greatest models in the field of image recognition are used by the vision Cliqora. Review collected by and hosted on G2.com.

Because several foods have the same color, it occasionally provides the incorrect response for low-quality images. We are unable to train or modify the model to fit our particular use case. The configuration portion may be made simpler. Review collected by and hosted on G2.com.