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The dataset is labeled with semantic labels for 32 semantic classes. over 700 images Images Object recognition and classification 2008 [60] [61] [62] 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 ...
A 3.1 TB dataset consisting of permissively licensed source code in 30 programming languages. Filtered through license detection and deduplication. 6 TB, 51.76B files (prior to deduplication); 3 TB, 5.28B files (after). 358 programming languages. Parquet Language modeling, autocompletion, program synthesis. 2022 [403] [404]
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HeiCuBeDa Hilprecht – Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection a collection of almost 2.000 cuneiform tablets for bulk-download acquired with a high-resolution 3D-scanner. Available under a CC BY license and quotable by digital object identifiers. Datasets cleaned using the GigaMesh Software Framework.
Sample images from MNIST test dataset. The MNIST database (Modified National Institute of Standards and Technology database [1]) is a large database of handwritten digits that is commonly used for training various image processing systems. [2] [3] The database is also widely used for training and testing in the field of machine learning.
Universal Scene Description (USD) is a framework for interchange of 3D computer graphics data. The framework focuses on collaboration, non-destructive editing, and enabling multiple views and opinions about graphics data. [1] USD is used in many industries including visual effects, architecture, design, robotics, CAD, and rendering. [2] [3]
Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. [1] The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists .
A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from two-dimensional images. The NeRF model enables downstream applications of novel view synthesis, scene geometry reconstruction, and obtaining the reflectance properties of the scene. Additional scene properties ...
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