Challenges and Limitations of Object Detection
Object detection grapples with several challenges and limitations. Ensuring accuracy in complex environments, achieving real-time processing speeds, and mitigating biases in training data are significant hurdles. Vulnerability to adversarial attacks and scalability concerns further complicate its application.
Real-World Applications of Object Detection
Object detection is a powerful computer vision technology that enables systems to identify and locate objects within an image or video. It involves recognizing what objects are present (like a car, person, or dog) and determining where each object is located. This technology is widely used in various applications, including security cameras, self-driving cars, and smartphone apps that can identify objects through the camera.
In this article, we will explore some of the most impactful Real-World Applications of Object Detection.
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