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List of datasets in computer vision and image processing. Outline of machine learning. v. t. e. These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning ...
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. [4][5 ...
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1][2] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. [3] ImageNet contains more than 20,000 ...
California Gov. Gavin Newsom signed three bills Tuesday to crack down on the use of artificial intelligence to create false images or videos in political ads ahead of the 2024 election. A new law ...
Ukrainian forces have yet to set up defensive lines as they continue their operation into the Kursk region of Russia, a U.S. official told ABC News on Wednesday. While this might reflect Ukrainian ...
California Gov. Gavin Newsom on the first night of the Democratic National Convention in Chicago on Aug. 19. California Gov. Gavin Newsom signed two bills Tuesday aimed at protecting actors and ...
Most light sheet fluorescence microscopes are used to produce 3D images of the sample by moving the sample through the image plane. If the sample is larger than the field of view of the image sensor, the sample also has to be shifted laterally. An alternative approach is to move the image plane through the sample to create the image stack. [32]
Image acquisition – A digital image is produced by one or several image sensors, which, besides various types of light-sensitive cameras, include range sensors, tomography devices, radar, ultra-sonic cameras, etc. Depending on the type of sensor, the resulting image data is an ordinary 2D image, a 3D volume, or an image sequence.