We will differentiate both popular processes, these are image recognition vs object detection. So we will not confuse both.
What Is Image Recognition vs Object Detection?
Image recognition is the process of identifying what an image depicts. Image recognition is difficult because the computer has to be trained.
Especially, on what objects and images look like. Also, how they are positioned, and these objects and images cannot be moved.
Object detection is the process of finding and classifying objects in an image or video. Object detection is not as difficult as object recognition it is because when you are using object detection, objects can be moved in the image.
How to differentiate both? It should be in factors of process and structure.
Image recognition is done by humans. Also, it is a process of data collection and understanding about the image. Object detection is done by the computer and doesn’t need human interaction.
Image recognition is not as difficult as object detection. It is because it can be done by humans.
Moreover, we know that we can recognize an object even if we see a partial view of the object. That’s why object detection is more difficult than image recognition.
So what are the advantages of using both processes?
Advantages
Image recognition is used in processes like image annotation. So that will help you to understand or to give information about other things.
For example, in Google images, if you want to show the other user what the image is depicting. Image recognition is also used in search engines like Google, Bing, etc. It will help you to search for the object in the image.
Object detection is used in security monitoring because it can detect whether there is any person or vehicle in an area. It can also detect any movement in an area.
For example, if a person is moving illegally then it can be detected. Object detection can also be used while playing games like CS GO, Dota 2, etc. These games are played while using a computer webcam and software. So that tracks the player’s position and shows a real-time video of the player on the screen.
Object detection can also be used in self-driving cars because it can detect any obstacle on the road or any car on the road and take actions accordingly.
What are the applications of image recognition and object detection?
Image recognition is used in the security field, search engines, etc. Object detection is used in gaming, security monitoring, vehicle control, etc.
A webcam can also be used in object detection.
Computer vision is about how computers deal with images. Computer vision is about understanding what an image depicts.
In Conclusion
Image recognition and object detection are both computer vision processes. Image recognition is done by humans and it is a process of collecting data and understanding the image.
Object detection is done by the computer and doesn’t need human interaction. Image recognition is more difficult than object detection. It is because we can recognize an object even if we see a partial view of the object. Computer vision is about how computers deal with images.
