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A popular self-driving car dataset is missing labels for hundreds of pedestrians

SUMMARY A hand-check of the 15,000 images in the widely used Udacity Dataset 2 found problems in 4,986 of them (33%), including thousands of unlabeled vehicles, hundreds of unlabeled pedestrians, dozens of unlabeled cyclists, and 217 completely unannotated images that contained real objects. Phantom annotations…
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AI & Machine LearningDatabases & Data2020

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Feb 11, 2020A popular self-driving car dataset is missing labels for hundreds of pedestrians by yeldarb412191

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