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  2. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  3. List of GIS data sources - Wikipedia

    en.wikipedia.org/wiki/List_of_GIS_data_sources

    Datasets developed for the Northwest Forest Plan: DEM, digital raster graphic, land use, watersheds, old growth, habitat, etc. NOAA Digital Coast Data Registry: Search for and download a variety of datasets from the United States National Oceanic and Atmospheric Administration.

  4. List of datasets in computer vision and image processing

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

    Multiple labeled training and evaluation datasets of aerial images of crowds. Images manually labeled to show paths of individuals through crowds. ~ 150 Images with paths People tracking, aerial tracking 2012 [151] [152] M. Butenuth et al. Wilt Dataset Remote sensing data of diseased trees and other land cover. Various features extracted. 4899 ...

  5. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...

  6. Overhead Imagery Research Data Set - Wikipedia

    en.wikipedia.org/wiki/Overhead_Imagery_Research...

    The Overhead Imagery Research Data Set (OIRDS) is a collection of an open-source, annotated, overhead images that computer vision researchers can use to aid in the development of algorithms. [1]

  7. Science of Science Tool (Sci2) - Wikipedia

    en.wikipedia.org/wiki/Science_of_Science_Tool_(Sci2)

    It supports the temporal, geospatial, topical, and network analysis and visualization of datasets at the micro (individual), meso (local), and macro (global) levels. Users of the tool can: Access science datasets online or load their own. Perform different types of analysis with the most effective algorithms available.

  8. COVID-19 datasets - Wikipedia

    en.wikipedia.org/wiki/COVID-19_datasets

    NIH Open Access Datasets: The National Institutes of Health provide open-access data and computational resources related to COVID-19. [ 16 ] COVID-19 Open Research Dataset (CORD-19): The Semantic Scholar project of the Allen Institute for AI hosts CORD-19, a public dataset of academic articles about COVID-19 and related research. [ 17 ]

  9. CIFAR-10 - Wikipedia

    en.wikipedia.org/wiki/CIFAR-10

    It is one of the most widely used datasets for machine learning research. [1] [2] The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes. [3] The 10 different classes represent airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks. There are 6,000 images of each class. [4]