Scale AI releases a new open-source dataset for both academic and commercial use, and accelerate the growth of Autonomous Driving research.
For self-driving car applications, we most often avoid explicitly programming machine learning algorithms on how to make decisions, but instead we feed deep learning (DL) models with labeled data to learn from. Indeed, DL models can get better with more data, seemingly without limit. However, to get a well-functioning model, it is not enough to just have large amounts of data, you also need high-quality data annotation.
💡 Dive in the full article freely available at Towards Data Science.
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