Object Detection Using TF

Object detection is a computer vision task that involves identifying and localizing objects of interest within an image or video. Applications of object detection include:

• Object tracking

• Autonomous driving

• Surveillance systems

• Image annotation

Object classification and localization

Object detection methods comprise two main tasks:

1. Object classification: This involves the determination of the class or category of each detected object within an image or video.

2. Object localization: This involves precisely localizing the detected objects within the image or video by drawing bounding boxes around them. Object localization aims to accurately determine the coordinates of the bounding boxes, typically represented by the top-left and bottom-right corner points or the center coordinates and dimensions of the boxes.

The abovementioned components allow an object detection system to not only recognize the objects but also provide information about their spatial locations in the visual data.