What are the main challenges in computer vision?
An example of an AI chatbot conversation about challenges in computer vision.
What are the main challenges in computer vision?
Some key challenges include image recognition accuracy, handling occlusions, and varying lighting conditions.
How does occlusion affect image recognition?
Occlusion can obscure parts of an object, making it difficult for algorithms to identify and classify it correctly.
What techniques are used to overcome these challenges?
Techniques like data augmentation, deep learning, and using multiple camera angles can help improve accuracy.
Are there any real-world applications facing these challenges?
Yes, applications in autonomous driving, facial recognition, and medical imaging often encounter these challenges.
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