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Caltech 101 is a data set of digital images created in September 2003 and compiled by Fei-Fei Li, Marco Andreetto, Marc 'Aurelio Ranzato and Pietro Perona at the California Institute of Technology. It is intended to facilitate computer vision research and techniques and is most applicable to techniques involving image recognition classification and categorization. Caltech 101 contains a total of 9,146 images, split between 101 distinct object categories and a background category. Provided with the images are a set of annotations describing the outlines of each image, along with a Matlab script for viewing.
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Pranab Kumar Sen was an Indian-American statistician who was a professor of statistics and the Cary C. Boshamer Professor of Biostatistics at the University of North Carolina at Chapel Hill.
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Tamara Lee Berg is a tenured associate professor at the University of North Carolina at Chapel Hill and a research scientist manager at Facebook AML/FAIR.
References
- ↑ Official website
- ↑ Alexander Berg publications indexed by Google Scholar
- ↑ Kumar, N.; Berg, A.; Belhumeur, P. N.; Nayar, S. (March 10, 2011). "Describable Visual Attributes for Face Verification and Image Search". IEEE Transactions on Pattern Analysis and Machine Intelligence . 33 (10): 1962–1977. CiteSeerX 10.1.1.379.4329 . doi:10.1109/TPAMI.2011.48. ISSN 0162-8828. PMID 21383395. S2CID 1151924.
- ↑ Berg, Tamara. "Tamara L Berg". Tamara L Berg. Retrieved 14 July 2022.
