UIUC Image Database for Car Detection


This database contains images of side views of cars for use in evaluating object detection algorithms. The images were collected at UIUC by Shivani Agarwal, Aatif Awan and Dan Roth, and were used in the experiments reported in [1], [2].

The download package contains the following: The images are all grey-scale and are available in raw PGM format. The evaluation files provide a standardized method for evaluating different algorithms. The evaluation scheme is the same as that used in [1] (note that this differs from the evaluation scheme used in [2]; see [1] for details). Instructions for using the evaluation routine are provided in the README file; this file can also be viewed here.

The gzipped download file is around 7 MB; the unzipped data takes up around 14 MB.


Related Publications

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[1]   Shivani Agarwal, Aatif Awan, and Dan Roth,
Learning to detect objects in images via a sparse, part-based representation.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(11):1475-1490, 2004.

[2]   Shivani Agarwal and Dan Roth,
Learning a sparse representation for object detection.
In Proceedings of the Seventh European Conference on Computer Vision, Part IV, pages 113-130, Copenhagen, Denmark, 2002.


This research, including the collection of this database, was supported by NSF grants ITR IIS 00-85980 and ITR IIS 00-85836.

Questions or comments can be directed to sagarwal@cs.uiuc.edu