Simulating Reality
Progress in gaming graphics has opened new avenues for enhancing AI features, particularly in tasks like lane detection. By leveraging simulation engines, researchers aim to create controlled environments that generate photorealistic imagery, bridging the gap between simulated data and real-world applications. The integration of GANs plays a crucial role in this process, allowing for the generation of realistic images while maintaining control over scene semantics.In this clip
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The AI Podcast
Ford’s Nikita Jaipuria and Rohan Bhasin on Generating Synthetic Data - Ep. 117
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