Challenges faced in computer vision

Computer vision is a field of study that aims to teach computers to see and understand images and videos like humans do. However, there are several challenges faced in computer vision. One major challenge is the variability of real-world images. Images can vary in lighting conditions, viewpoints, and occlusions, making it difficult for computer algorithms to accurately interpret them. Another challenge is the need for large and diverse datasets to train computer vision models. Gathering and annotating such datasets can be time-consuming and expensive. Additionally, achieving real-time processing and high accuracy in complex tasks, such as object recognition or scene understanding, is a challenge that researchers are constantly working on. Lastly, computer vision must address ethical concerns, such as privacy and bias, as it becomes increasingly integrated into various applications like surveillance systems or autonomous vehicles. Overcoming these challenges will be crucial for the advancement and widespread application of computer vision technology.

This mind map was published on 20 August 2023 and has been viewed 100 times.