Android object detection

Object detection can be done by a machine learning approach and a deep learning approach . The machine learning approach requires the features to be defined by using various methods and then using any technique such as Support Vector Machines (SVMs) to do the classification.

When you pass ML Kit images, ML Kit returns, for each image, a list of up to five detected objects and their position in the image.

Object tracking refers to the ability to estimate or predict the position of a target object in each consecutive frame in a video once the initial position of the target object is defined. On the other hand, object detection is the process of detecting a target object in an image or a single frame of the video.

With ML Kit’s on-device Object Detection and Tracking API, you can detect and track objects in an image or live camera feed . Optionally, you can classify detected objects, either by using the coarse classifier built into the API, or using your own custom image classification model.