NB: FigureSeer is no longer being actively maintained. Code is provided for informational purposes only. If you're interested in taking over maintenance, please contact siegeln@uw.edu.
FigureSeer is a system for parsing result-figures in research papers. It automatically localizes figures, classifies them, and analyses their content.
If you find FigureSeer useful in your research, please consider citing:
@inproceedings{siegelnECCV16figureseer,
Author = {Noah Siegel and Zachary Horvitz and Roie Levin and Santosh Divvala and Ali Farhadi},
Title = {FigureSeer: Parsing Result-Figures in Research Papers},
Booktitle = {European Conference on Computer Vision ({ECCV})},
Year = {2016}
}
- Caffe and its Matlab interface (http://caffe.berkeleyvision.org/installation.html)
- JSONlab (https://www.mathworks.com/matlabcentral/fileexchange/33381-jsonlab--a-toolbox-to-encode-decode-json-files)
- Clone the repo with
git clone --recursive https://github.com/allenai/figureseer - Download model weights from https://drive.google.com/corp/drive/folders/18oQ6LZbxVTH7qgEY9tj7YdstdRpr0HV_ and save them to
data/models/neural-networks/. - Compile pdffigures (included in the dependencies directory)
- In setConf.m, edit 'conf.caffeRoot' to point to your Caffe installation.
- Run 'main.m'
To run on your own PDFs, simply add them to figureseer/data/pdfs and run main.
Data used for training models is available at the project webpage: http://allenai.org/plato/figureseer/.
FigureSeer is released under the GPLv2 License.