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Teaching Computers to See
Jan 25, 2024
Fei Fei Li, a Stanford computer scientist and former chief scientist of AI/ML at Google Cloud, discusses how she built the ImageNet database, the challenges of downloading internet images, and her ambition to create machines that can collaborate with humans.
28:33
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Quick takeaways
- Building a massive database of labeled images, like ImageNet, significantly improved computer vision outcomes.
- The combination of big data and neural networks revolutionized computer vision and paved the way for advancements in object recognition.
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The Importance of Computer Vision
Computer vision enables computers and machines to have visual intelligence, similar to how humans can recognize and interact with objects. It is crucial for various applications such as driver's assistant programs, healthcare systems, and wildlife preservation. Computer vision has immense potential for future advancements, including self-driving cars, personal robots, and mapping biodiversity.
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Listen to the best highlights from the podcasts you love and dive into the full episode