Clarifai Models are pre-trained image recognition processing blocks. Developers can use Clarifai Models to make predictions. These models were built in-house and have been thoroughly tested. Convert inputs (e.g. images) to predictions (e.g. concepts, bounding boxes, etc). When you run an input through a model, it will return the predictions that the model sees in the input. Each model is trained to recognize a unique set of outputs, such as concepts, faces, and colors. For example, if you run your input through the 'food' model, it will return concepts that the 'food' model knows about, such as specific dish names. If you run the same input through the 'color' model, it will return predictions about the dominant colors in your image.