Ayilooz

Today’s AI assistants help users with their everyday questions and curiosity, their commutes, and their product purchases. Despite the wide range of services, a neglected aspect, which consumes a large part of our everyday life,  is food . According to American Time Use Survey, Americans spend on average 1.18 hours per day in eating and drinking activities. More important than the time spent on food, what we eat is central to our health. An unhealthy food habit is likely to result in overweight, undernourished body conditions, and increase the risk of the development of nutrition-related diseases. However, we have not seen much investment on personalized AI assistants for healthy food choices. Albeit the lack of AI assistant for food, there are still hundreds of apps focusing on various aspects of food industry: Apps such as Instagram and Pinterest encourage users to take food pictures and share them with friends. Furthermore, these apps increase user retention with social fe

We have just released the instance segmentation support for the Tensor Flow Object Detection API . We support a number of instance segmentation models similar to those discussed in the Mask R-CNN paper. For further details refer to our slides from the 2017 Coco + Places Workshop. Refer to the section on Running an Instance Segmentation Model for instructions on how to configure a model that predicts masks in addition to object bounding boxes.