readme.txt

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RVL-CDIP Dataset
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The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The images are sized so their largest dimension does not exceed 1000 pixels.

For questions and comments please contact Adam Harley (aharley@scs.ryerson.ca).

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CHANGELOG
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05/JUN/2015	First version of the dataset

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DETAILS
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The label files list the images and their categories in the following format:

path/to/the/image.tif category

where the categories are numbered 0 to 15, in the following order:

0 letter
1 form
2 email
3 handwritten
4 advertisement
5 scientific report
6 scientific publication
7 specification
8 file folder
9 news article
10 budget
11 invoice
12 presentation
13 questionnaire
14 resume
15 memo

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CITATION
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If you use this dataset, please cite:

A. W. Harley, A. Ufkes, K. G. Derpanis, "Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval," in ICDAR, 2015

Bibtex format:

@inproceedings{harley2015icdar,
    title = {Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval},
    author = {Adam W Harley and Alex Ufkes and Konstantinos G Derpanis},
    booktitle = {International Conference on Document Analysis and Recognition ({ICDAR})}},
    year = {2015}
}

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FURTHER INFORMATION
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This dataset is a subset of the IIT-CDIP Test Collection 1.0 [1]. The file structure of this dataset is the same as in the IIT collection, so it is possible to refer to that dataset for OCR and additional metadata. The IIT-CDIP dataset is itself a subset of the Legacy Tobacco Document Library [2]. 

[1] D. Lewis, G. Agam, S. Argamon, O. Frieder, D. Grossman, and J. Heard, "Building a test collection for complex document information processing," in Proc. 29th Annual Int. ACM SIGIR Conference (SIGIR 2006), pp. 665-666, 2006
[2] The Legacy Tobacco Document Library (LTDL), University of California, San Francisco, 2007. http://legacy.library.ucsf.edu/.

More information about this dataset can be obtained at the following URL: http://scs.ryerson.ca/~aharley/rvl-cdip/