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  2. List of datasets in computer vision and image processing

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

    2D keypoints and segmentations for the Stanford Dogs Dataset. 2D keypoints and segmentations provided. 12,035 Labelled images 3D reconstruction/pose estimation 2020 [187] B. Biggs et al. The Oxford-IIIT Pet Dataset 37 categories of pets with roughly 200 images of each. Breed labeled, tight bounding box, foreground-background segmentation. ~ 7,400

  3. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    Semantic segmentation is an approach detecting, for every pixel, the belonging class. [18] For example, in a figure with many people, all the pixels belonging to persons will have the same class id and the pixels in the background will be classified as background.

  4. Presentation semantics - Wikipedia

    en.wikipedia.org/wiki/Presentation_semantics

    For example, saying that <bold> ... </bold> must render the text between these constructs using some bold typeface is a specification of presentation semantics for that syntax. Many markup languages , including HTML , DSSSL , and XSL-FO , have presentation semantics, but others, such as XML , do not.

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

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

    OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...

  6. Semantic gap - Wikipedia

    en.wikipedia.org/wiki/Semantic_gap

    The semantic gap characterizes the difference between two descriptions of an object by different linguistic representations, for instance languages or symbols. According to Andreas M. Hein, the semantic gap can be defined as "the difference in meaning between constructs formed within different representation systems". [ 1 ]

  7. Semantic technology - Wikipedia

    en.wikipedia.org/wiki/Semantic_technology

    Simplistic example of the sort of semantic net used in Semantic Web technology. The ultimate goal of semantic technology is to help machines understand data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) [1] and OWL (Web Ontology Language). [2]

  8. Presentation layer - Wikipedia

    en.wikipedia.org/wiki/Presentation_layer

    An example of a presentation service would be the conversion of an extended binary coded decimal interchange code (EBCDIC-coded) text computer file to an ASCII-coded file. If necessary, the presentation layer might be able to translate between multiple data formats using a common format.

  9. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    A simple example would be a GPU program that collects data about average lighting values as it renders some view from either a camera or a computer graphics program back to the main program on the CPU, so that the CPU can then make adjustments to the overall screen view.

  1. Related searches 2d semantic segmentation benchmarks examples ppt background presentation

    image segmentation definitionimage segmentation wikipedia