Shuang-MeiMulti-modal image classification

1. NUS-WIDE

Dataset links: http://lms.comp.nus.edu.sg/research/NUS-WIDE.htm

This dataset includes six types of low-level features, 64-D color histogram, 144-D color correlogram, 73-D edge direction histogram, 128-D wavelet texture, 225-D block-wise color moments and 500-D bag of words based on SIFT descriptions.

2. Scene-15

Dataset links: http://www-cvr.ai.uiuc.edu/ponce_grp/data/

This is a dataset of fifteen natural scene categories that expands on the thirteen category dataset released by Fei-Fei Li.

3. Texture-25

Dataset links: http://www-cvr.ai.uiuc.edu/ponce_grp/data/

The texture database features 25 texture classes, 40 samples each. All images are in grayscale JPG format, 640x480 pixels.

4. Indoor-67

Dataset links: http://web.mit.edu/torralba/www/indoor.html

The database contains 67 Indoor categories, and a total of 15620 images. The number of images varies across categories, but there are at least 100 images per category. All images are in jpg format.

5. Caltech-101

Dataset links: http://www.vision.caltech.edu/Image_Datasets/Caltech101/

Pictures of objects belonging to 101 categories. About 40 to 800 images per category. Most categories have about 50 images. Collected in September 2003 by Fei-Fei Li, Marco Andreetto, and Marc 'Aurelio Ranzato. The size of each image is roughly 300 x 200 pixels.