Computer Vision
Top 5 Use Cases of Computer Vision in Retail in 2025
Computer vision (CV) can be called the “eyes” of artificial intelligence (AI). It is revolutionizing almost every sector in the world, including retail. As more organizations recognize the potential of computer vision, they are investing more in improving their computer vision capabilities.
17 Computer Vision in Healthcare Use Cases & Examples
Even though Hinton, a Turin award recipient, claimed that radiology would be automated by 2021, such accelerated automation hasn’t occurred.However, AI-driven computer vision in healthcare is still expected to increase precision in surgery, medical imaging, and real-time patient monitoring, while enabling faster and more reliable decision-making.
Image Annotation ['25]: Definition, Importance & Techniques
Image annotation is one of the most important stages in the development of computer vision and image recognition applications, which involves recognizing, obtaining, describing, and interpreting results from digital images or videos. Computer vision is widely used in AI applications such as autonomous vehicles, medical imaging, or security.
Synthetic Data for Computer Vision: Benefits & Examples
Advancements in deep learning techniques have paved the way for successful computer vision and image recognition applications in fields such as automotive, healthcare, and security. Computers that can derive meaningful information from visual data enable numerous applications such as self-driving cars and highly accurate detection of diseases.
Computer Vision: Definition & Key Techniques in 2025
With a projected ~10% CAGR from 2025 to 2030, reaching ~$47 billion by 2030, the computer vision market is one of the fastest-growing sectors, driving advancements in object recognition, flaw detection, and quality control for many industries.(See Figure 1) To stay competitive, businesses must recognize its potential and integrate computer vision-based applications into their operations.