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Computer vision
Asked 20 Sep 2024 09:55:14
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20 Sep 2024 09:55:14 brad smith posted:
Hey everyone, I’ve been reading up on computer vision lately and I’m curious about how it’s being used in real-world applications. I understand the basic concept of teaching machines to 'see,' but what are some specific industries or projects where this technology is making a significant impact? Also, how difficult is it to develop a computer vision solution? I’m considering diving into this field, but not sure where to start. Replies
Replied 20 Sep 2024 09:56:44
20 Sep 2024 09:56:44 jessie miller replied:
Great question! Computer vision https://data-science-ua.com/computer-vision/ is making waves across many industries right now. In healthcare, for instance, it’s used for analyzing medical images like X-rays or MRIs to detect abnormalities more quickly and accurately than traditional methods. In retail, companies are using it for facial recognition and inventory management, where it helps track stock levels in real time. Autonomous vehicles rely heavily on computer vision to detect obstacles, read traffic signs, and make navigation decisions.
As for developing a computer vision solution, it does come with challenges, especially when it comes to training models with large datasets and ensuring they generalize well to new images. You'll need a good understanding of deep learning, particularly convolutional neural networks (CNNs). If you’re just starting, I’d recommend beginning with a course on Python and basic AI, then move on to open-source libraries like OpenCV or TensorFlow. The field is constantly evolving, so there’s plenty of room to grow!
As for developing a computer vision solution, it does come with challenges, especially when it comes to training models with large datasets and ensuring they generalize well to new images. You'll need a good understanding of deep learning, particularly convolutional neural networks (CNNs). If you’re just starting, I’d recommend beginning with a course on Python and basic AI, then move on to open-source libraries like OpenCV or TensorFlow. The field is constantly evolving, so there’s plenty of room to grow!