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1.搜狗实验室数据集:
http://www.sogou.com/labs/dl/p.html
互联网图片库来自sogou图片搜索所索引的部分数据。其中收集了包括人物、动物、建筑、机械、风景、运动等类别,总数高达2,836,535张图片。对于每张图片,数据集中给出了图片的原图、缩略图、所在网页以及所在网页中的相关文本。200多G
2
IMAGECLEF致力于位图片相关领域提供一个基准(检索、分类、标注等等) Cross Language Evaluation Forum (CLEF) 。从2003年开始每年举行一次比赛.
http://staff.science.uva.nl/~xirong/index.php?n=Main.Dataset
3
Xiaorong Li 维护的数据集。PhD ,Intelligent Systems Lab Amsterdam.research on video and image retrieval.
http://www.svcl.ucsd.edu/projects/crossmodal/
5
http://lms.comp.nus.edu.sg/research/NUS-WIDE.htm
To our knowledge, this is the largest real-world web image dataset comprising over 269,000 images with over 5,000 user-provided tags, and ground-truth of 81 concepts for the entire dataset. The dataset is much larger than the popularly available Corel and Caltech 101 datasets. Though some datasets comprise over 3 million images, they only have ground-truth for a small fraction of images. Our proposed NUS-WIDE dataset has the ground-truth for the entire dataset.
6.
http://www.cs.washington.edu/research/imagedatabase/
7.
http://lear.inrialpes.fr/~jegou/data.php
Jegou的数据集,不过Jegou是专门做CBIR的,图像有ground truth,没有标注。
8.
http://www.robots.ox.ac.uk/~vgg/data/oxbuildings/
vgg的osford building dataset。也是专门CBIR的数据。
9.
The dataset for the Microsoft Image Grand Challenge on Image Retrieval
另外介绍cvpaper上的整理的数据集
http://www.cvpapers.com/index.html
CVOnline的数据集
http://homepages.inf.ed.ac.uk/rbf/CVonline/CVentry.htm
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