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multisensor datasets from project Rawseeds Computer Vision

scrapped from : http://www.rawseeds.org/home/


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Theaim of the Rawseeds Project is to build benchmarking tools for roboticsystems. This is done through the publication of a comprehensive,high-quality Benchmarking Toolkit composed of:

  • high-quality multisensor datasets, with associated ground truth;
  • Benchmark Problems based on the datasets;
  • Benchmark Solutions for the problems.

The BPs include quantitative performance metrics that can be applied to the output of the BSs. Therefore, once they are put in the form of BSs, algorithms can be assessed and compared. Interested? Click here to read more about the Toolkit.

Rawseeds’ Benchmarking Toolkit is mainly targeted to the problems oflocalization, mapping and SLAM in robotics; but its use is not limitedto them. It will be freely downloadable from this website, and its elements are currently under development.

*** UPDATE: the datasets are online! ***

You can contribute to Rawseeds! Actually, this is agreat way to give to your own algorithms and results the visibilitythey deserve. It is done by putting them in the form of BenchmarkSolutions (don’t worry, it’s not a lot of work!) and publishing themalong with ours. Want to know more? Take a look here.

Questions? You can read the F.A.Q. to learn more. If you want, you can also contact us. Finally: please, take a look to our forum. It’s the place where Rawseeds users and contributors share their thoughts, discuss, or… have new ideas :-)

Rawseeds is funded by the European Commission within the Sixth Framework Programme, and its activities are currently under way. Read here to know how the project is going.


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