Object Detection
One of the significant function in computer vision is Object detection. The main purpose of object detection is to identify and locate specific objects in the provided input sources like digital images or videos. Few examples for object detection are locating a pedestrian in a street or a car in a road traffic.
There is a two-part process namely object localization and object classification which combines to make the object detection process.
- Object Localization: Object Localization means locating objects. Here we detect or identify the objects by pinpointing their specific location within an image or video. The object detection in Computer Vision tasks use bounding box to mark the object locations in an image or tracking a moving object in a video.
- Object Classification: Once we know where the objects are, we move on to object classification. This means putting each object into a pre-defined category like ‘human’, ‘car’, or ‘animal’.
Computer Vision Tasks
Computer vision is a branch of artificial intelligence that helps computers understand and analyze visual data from digital images, videos, and similar visual inputs. Using digital visual data obtained from various sources, we can teach computers to detect and interpret visual objects. It also plays a critical role in areas such as image recognition and object detection. There are many different tasks that computer vision can perform. In this article, we will discuss computer vision tasks in detail.
Table of Content
- What are computer vision tasks?
- Image Classification
- Object Detection
- Image Segmentation
- Face and Person Recognition
- Edge Detection
- Image Restoration
- Feature Matching
- Scene Reconstruction
- Video Motion Analysis
- Conclusion: