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[4] Google Research Places: 10+ million images in 400+ scene classes, with 5000 to 30,000 images per class. 10,000,000 image, label 2018 [5] Zhou et al Ego 4D A massive-scale, egocentric dataset and benchmark suite collected across 74 worldwide locations and 9 countries, with over 3,670 hours of daily-life activity video.
Older C programming libraries have this 2 or 4 GB limit, but the newer file libraries have been converted to 64-bit integers thus supporting file sizes up to 2^63 or 2^64 bytes (8 or 16 EB). Before starting a download of a large file, check the storage device to ensure its file system can support files of such a large size, check the amount of ...
Connect-4 Dataset Contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced. None. 67,557 Text Classification 1995 [466] J. Tromp Chess (King-Rook vs. King) Dataset Endgame Database for White King and Rook against Black King. None. 28,056 Text Classification 1994 ...
Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database. It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [ 1 ]
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. The service was out of beta as of January 23, 2020. [2]
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
Documentation of the dataset helps clarify the chain of provenance and ensure that the original data has not been significantly altered or that all the further treatments are fully documented if this is the case. [118] Publication under a free license also allows delegating tasks such as long-term preservation to external actors.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]