multiview研究常用数据库(持续更新中）

Caltech 101 图像数据库

Caltech 101 图像数据库包含有 101 个类，每类包含有 31-800 幅图像，共 9144 幅图像，这些图像包括动物、车轮、鲜花等等，且来自于同一类的图像具有非常大的形状变化。

BBCSport

Consists of 737 documents from the BBC Sport website corresponding to sports news articles in five topical areas (athletics, cricket, football, rugby, tennis) from 2004-2005.

The Yale Face Database (size 6.4MB) contains 165 grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink.

Extended Yale B人脸数据库

The extended Yale Face Database B contains 16128 images of 28 human subjects under 9 poses and 64 illumination conditions.

ORL dataset

ORL face database composed of 400 images of size 112 x 92. There are 40 persons, 10 images per each person. The images were taken at different times, lighting and facial expressions.

USPS digits

The USPS handwritten digit database. We provide here a popular subset contains 9298 16x16 handwritten digit images in total, which is then split into 7291 training images and 2007 test images.

UCI digits

This dataset consists of features of handwritten numerals (`0'--`9'). It is composed of 2000 data points.

Multi-View Twitter Datasets

A collection of Twitter datasets for evaluating multi-view analysis methods.

3Sources Dataset

A multi-view text corpus, constructed from news articles from three online news services (BBC, Reuters, and The Guardian).

Synthetic Multi-view text Datasets

a set of synthetic multi-view text datasets, constructed from the single-view BBC and BBCSport corpora by splitting news articles into related segments of text.

MSRC v1 dataset

The MSRC v1 dataset from Microsoft Research in Cambridge contains 240 images and 9 object classes with coarse pixel-wise labeled images.

Scene-15 Dataset

Scene-15 dataset contains 15 scene categories with both indoor and outdoor environments, 4485 images in total.

The initial 8 classes were collected by Oliva and Torralba, and then 5 categories were added by Fei-Fei and Perona; finally, 2 additional categories were introduced by Lazebnik et al.