Object Detection – Computer Vision
Object Detection
Object detection is the process of finding and separating real-world objects in a picture or video. This technique can find a human face, flowers, cars, etc., out of an image of any given size. Object detection depends a lot on derived features and learning algorithms because it needs to work in real time and give results in real time.
Computer Vision Application
Most computer vision solutions use machine learning to analyze camera, video, or image input.
In addition to object classification and object detection, Computer Vision applications are all of the following.
Semantic Segmentation
A technique called “semantic segmentation” separates a group of pixels based on the object to which they belong. For example, in a traffic detection system, a layer of color is added to different object types.
Image Analysis
This technique works around machine learning models that add tags to various images describing what is inside them. Image classification is used here to label images, and then a complete description is laid out for whatever is happening inside the image.
Optical Character Recognition (OCR)
You can read a piece of text from an image using OCR. This technique extracts any and all the text that it detects in an image. It can be used by traffic management agencies to read out traffic signs. On other occasions, it can also be used to scan out important information from papers such as invoices, letters, or bills.
Exploring Various Vision Services
In this section, you’ll find out about the different vision services that Microsoft Azure Cognitive Services have to offer.
Computer Vision
The Computer Vision API is an essential and significant tool offered by Azure. Using the Computer Vision Image Analysis API, we can get a full analysis of an image. This API gives each part of an image’s contents a score and gives a detailed description of all of those parts. Also, the final result is a list of image features that are ordered from most confident to least confident based on their confidence score. In addition, hints and clues are added where there is a dearth of exact information.
The different services and their benefits provided by this API are described as follows.
