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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 ...
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 made available as various sorted types and subtypes.
GIS data for global datasets; Name Description; Natural Earth: Public domain vector and raster dataset. Supported by the NACIS. [1] Global Map: Provides consistent coverage of all the Earth's land cover area. Includes different thematic maps such as: transportation, elevation, drainage, vegetation, administrative boundaries, land cover ...
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.
The Comprehensive Knowledge Archive Network (CKAN) is an open-source open data portal for the storage and distribution of open data.Initially inspired by the package management capabilities of Debian Linux, [2] CKAN has developed into a powerful data catalogue system that is mainly used by public institutions seeking to share their data with the general public.
Data Commons is an open-source platform [1] created by Google [2] that provides an open knowledge graph, combining economic, scientific and other public datasets into a unified view. [3] Ramanathan V. Guha, a creator of web standards including RDF, [4] RSS, and Schema.org, [5] founded the project, [6] which is now led by Prem Ramaswami. [7]
LabelMe is a project created by the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) that provides a dataset of digital images with annotations. The dataset is dynamic, free to use, and open to public contribution. The most applicable use of LabelMe is in computer vision research. As of October 31, 2010, LabelMe has 187,240 ...
In 2011 the Public Data Explorer was made available to everyone. The Dataset Publishing Language (DSPL) was created to be used with the platform. [6] Once data is imported, the dataset can be visualized, embedded in external websites, and shared with others. [7]