Real-World Data - Groups

DB 4

The dataset used in this paper is a regression problem, and it is a real-world regression task, that is, DB 4 comes from a real-world application, that is, computer activity...

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DB 3

The dataset used in this paper is a regression problem, and it is a real-world regression task, that is, DB 3 contains 1020 instances. Both the training and test sets are formed...

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DB 2

The dataset used in this paper is a regression problem, and it is a real-world regression task, that is, DB 2 contains 950 observations with nine input variables and one output...

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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...

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From synthetic to real: Image dehazing collaborating with unlabeled real data

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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...

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Resyris - a real-synthetic rock instance segmentation dataset for training an...

A real-synthetic rock instance segmentation dataset for training and benchmarking.

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7 datasets found