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DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets
Autonomous driving requires various computer vision algorithms, such as object detection and tracking. Precisely-labeled datasets (i. e., objects are fully contained in bounding boxes with only a few extra pixels) are preferred for training such algorithms, so that the algorithms can detect exact locations of the objects.
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