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Internal Dataset
The internal dataset contains 6 million real-world driving scenarios from Las Vegas (LV), Seattle (SEA), San Francisco (SF), and the campus of the Stanford Linear Accelerator... -
City Brain Challenge dataset
The dataset used in the City Brain Challenge competition, containing a real-world city-scale road network and its traffic demand derived from real traffic data. -
From synthetic to real: Image dehazing collaborating with unlabeled real data
From synthetic to real: Image dehazing collaborating with unlabeled real data -
ScanObjectNN
Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen... -
AIMS Infant Pose Dataset
A new infant pose dataset with both synthetic and real-world images with fine-level annotation labels, that allow us to evaluate the cross-dataset generalization ability of the...
