Howtosignalprocessing
- What is the relation between image classification and object detection?
- What is the difference between image recognition and object detection?
- How does content based image retrieval work?
- What is object recognition in image processing?
What is the relation between image classification and object detection?
In simple words, object detection is a type of image classification technique, and besides classifying, this technique also identifies the location of the object instances from a large number of predefined categories in natural images.
What is the difference between image recognition and object detection?
For humans it's natural but for machines it is a process to learn. Not only identifying the image but with object recognition machines can understand what the image contains. Both object detection and object recognition are similar. But the only difference between the two is that they are executed differently.
How does content based image retrieval work?
Content-Based Image Retrieval (CBIR) is a way of retrieving images from a database. In CBIR, a user specifies a query image and gets the images in the database similar to the query image. To find the most similar images, CBIR compares the content of the input image to the database images.
What is object recognition in image processing?
Object recognition is a computer vision technique for identifying objects in images or videos. Object recognition is a key output of deep learning and machine learning algorithms. When humans look at a photograph or watch a video, we can readily spot people, objects, scenes, and visual details.
