What are some common challenges in computer vision?
An example of an AI chatbot conversation about common computer vision challenges.
What are some common challenges in computer vision?
Some common challenges include image recognition accuracy, handling occlusions, and varying lighting conditions.
How do occlusions affect image recognition?
Occlusions can obscure parts of an object, making it difficult for algorithms to identify and classify them accurately.
What techniques can be used to improve accuracy?
Techniques like data augmentation, transfer learning, and using ensemble methods can help improve accuracy.
Are there specific datasets for training models?
Yes, popular datasets include ImageNet, COCO, and MNIST, which are widely used for training computer vision models.
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