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MNIST Multiview Datasets
Image Recognition
Multi‑View Data
The MNIST Multiview Datasets comprise two four‑view datasets, each view being an R<sup>14 × 14</sup> vector. MNIST<sub>1</sub> generates four views by dividing the image into quadrants. MNIST<sub>2</sub> generates four overlapping views around the image centre, introducing redundancy between views.
github
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Multi-view Datasets
Multi‑View Data
Data Classification
The collection comprises multiple multi‑view benchmark datasets for clustering or classification tasks, including AwA, COIL100, MNIST2, NUSWIDEOBJ, PIE, and YouTubeFaces, each accompanied by detailed descriptions and multi‑view features.
github
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