Object recognition describes a collection of computer vision tasks that help computers interpret the visual world:

• Image Classification predicts the class of one object in an image.
• Object Localization identifies the location of one or more objects in an image and drawing a bounding box around their extent. 
• Object Detection combines image classification and object localization and applies them to one or more objects in an image.
• Object Segmentation detects one or more objects and highlights specific pixels around the object instead of a bounding box.

There have been many advances in the use of deep learning for image analysis. 

This next project exposes you to training ML models on images, to give machines "digital eyes" for interpreting the visual world.