Models

The Face Detector model locates and identifies faces from an image. It also provides a “joy score” for each face.

The Dog / Cat / Human Detector can identify whether there’s a dog, cat, or person in an image and draw a box around the identified objects. It’s based on the MobileNet model architecture.

The Dish Classifier model is designed to identify food in an image. It’s based on the MobileNet model architecture and trained to recognize over 2,000 types of food.

The Image Classifier demo is designed to identify 1,000 different types of objects. This demo can use either the SqueezeNet model or Google's MobileNet model architecture.

Nature explorer has 3 machine learning models based on MobileNet, trained on photos contributed by the iNaturalist community. These models are built to recognize 4,080 different species (~960 birds, ~1020 insects, ~2100 plants).