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  2. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    The dataset is labeled with semantic labels for 32 semantic classes. over 700 images Images Object recognition and classification 2008 [56] [57] [58] Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur, Roberto Cipolla RailSem19 RailSem19 is a dataset for understanding scenes for vision systems on railways. The dataset is labeled semanticly and ...

  3. Health Information National Trends Survey - Wikipedia

    en.wikipedia.org/wiki/Health_Information...

    The instrument closely resembles survey items and topics found on HINTS 5, Cycle 4 (2020), and includes other topics relevant to cancer survivors. A unique aspect of the dataset is that key data elements from the cancer registry datasets are linked to the survey responses, providing a more in-depth view of each respondent's cancer diagnosis.

  4. Common Data Set - Wikipedia

    en.wikipedia.org/wiki/Common_Data_Set

    The Common Data Set (CDS) is an annual product of the Common Data Set Initiative, "a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson's, and U.S. News & World Report."

  5. The Pile (dataset) - Wikipedia

    en.wikipedia.org/wiki/The_Pile_(dataset)

    The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]

  6. Iris flower data set - Wikipedia

    en.wikipedia.org/wiki/Iris_flower_data_set

    The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. [1]

  7. Hidden Markov model - Wikipedia

    en.wikipedia.org/wiki/Hidden_Markov_model

    Figure 1. Probabilistic parameters of a hidden Markov model (example) X — states y — possible observations a — state transition probabilities b — output probabilities. In its discrete form, a hidden Markov process can be visualized as a generalization of the urn problem with replacement (where each item from the urn is returned to the original urn before the next step). [7]

  8. Polity data series - Wikipedia

    en.wikipedia.org/wiki/Polity_data_series

    This is an accepted version of this page This is the latest accepted revision, reviewed on 22 November 2024. Political science project ranking states by democraticity For overview of democracy indices, see Democracy indices. Number of nations 1800–2003 scoring 8 or higher on the Polity IV scale, a measure of democracy. World map showing findings from the Polity IV data series report for 2017 ...

  9. Nursing Minimum Data Set - Wikipedia

    en.wikipedia.org/wiki/Nursing_Minimum_Data_Set

    The Nursing Minimum Data Set (NMDS) is a classification system which allows for the standardized collection of essential nursing data. The collected data are meant to provide an accurate description of the nursing process used when providing nursing care. The NMDS allow for the analysis and comparison of nursing data across populations ...