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

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

    Covertype Dataset Data for predicting forest cover type strictly from cartographic variables. Many geographical features given. 581,012 Text Classification 1998 [310] [311] J. Blackard et al. Abscisic Acid Signaling Network Dataset Data for a plant signaling network. Goal is to determine set of rules that governs the network. None. 300 Text

  3. List of datasets in computer vision and image processing

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

    Pictures of objects. Detailed object outlines marked. 9146 Images Classification, object recognition 2003 [27] [28] F. Li et al. Caltech-256 Large dataset of images for object classification. Images categorized and hand-sorted. 30,607 Images, Text Classification, object detection 2007 [29] [30] G. Griffin et al. COYO-700M Image–text-pair dataset

  4. Registry of Research Data Repositories - Wikipedia

    en.wikipedia.org/wiki/Registry_of_Research_Data...

    re3data.org is a global registry of research data repositories from all academic disciplines. It provides an overview of existing research data repositories in order to help researchers to identify a suitable repository for their data and thus comply with requirements set out in data policies. [1] [2] The registry went live in autumn 2012. [3]

  5. List of GIS data sources - Wikipedia

    en.wikipedia.org/wiki/List_of_GIS_data_sources

    The USGS Gap Analysis Program maintains four primary data sets: land cover, protected areas, species and aquatic. The GAP Land Cover Data Set is the most complete map ever produced of vegetative associations for the US. Classified into 551 ecological systems, and 32 modified ecological systems (where human impacts have had an effect).

  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] Most computer vision and machine learning algorithms function by training on a large set of example data. [ 2 ]

  7. CIFAR-10 - Wikipedia

    en.wikipedia.org/wiki/CIFAR-10

    The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. 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]

  8. Figshare - Wikipedia

    en.wikipedia.org/wiki/Figshare

    Figshare is an online open access repository where researchers can preserve and share their research outputs, including figures, datasets, images, and videos. [1] It is free to upload content and free to access, in adherence to the principle of open data.

  9. Donald Bren School of Information and Computer Sciences

    en.wikipedia.org/wiki/Donald_Bren_School_of...

    ICS buildings (center and left) viewed from the top of Bren Hall. The Donald Bren School of Information and Computer Sciences, also known colloquially as UCI's School of ICS or simply the Bren School, is an academic unit of the University of California, Irvine (UCI), and the only dedicated school of computer science in the University of California system.