Multi-view Datasets
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.
Dataset description and usage context
Multi‑View Datasets
Dataset Overview
The collection aggregates several multi‑view benchmark datasets used for clustering or classification.
Dataset List
AwA
- Description: 30,475 images spanning 50 animal categories.
- Number of Views: 6
- Source: https://cvml.ist.ac.at/AwA/
COIL100
- Description: 7,200 images across 100 categories.
- Number of Views: 3 (Isometric projection, Linear Discriminant Analysis, Neighborhood Preserving Embedding).
- Source: http://www.cs.columbia.edu/CAVE/software/softlib/coil-100.php
MNIST2
- Description: 60,000 digit images (0‑9).
- Number of Views: 3 (Isometric, LDA, NPE).
- Source: http://yann.lecun.com/exdb/mnist/
NUSWIDEOBJ
- Description: 30,000 images across 31 categories.
- Number of Views: 5 (Color histogram, Color moments, Color autocorrelogram, Edge orientation histogram, Wavelet texture).
- Source: https://lms.comp.nus.edu.sg/wp-content/uploads/2019/
PIE
- Description: Subset of the CMU Multi‑PIE face database; 32 × 32 images extracted from sessions C07, C09, C29.
- Number of Views: 3
- Source: https://www.cs.cmu.edu/afs/cs/project/PIE/
YouTubeFaces
- Description: 101,499 facial video frames collected from YouTube.
- Number of Views: Not specified.
- Source: https://www.cs.tau.ac.il/~wolf/ytfaces/
Citation
The dataset is referenced in:
X. Hu et al., "Multi‑View Fuzzy Classification With Subspace Clustering and Information Granules," IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 11, pp. 11642‑11655, 1 Nov. 2023. doi: 10.1109/TKDE.2022.3231929.
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