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Welcome to the INI Benchmark Website!

This website presents benchmark data sets and results for computer vision and machine learning problems. The benchmark data sets are compiled by the Real-Time Computer Vision group at our institute. In the future, users will be able to submit their own results on these datasets.

The results will be shown in a public leaderboard. The latter will be presented in a competition in February We are working on providing a solution soon, please be patient. Update: The datasets have been transferred to an external hosting service and can be downloaded from there, check out the respective "Dataset" section. The datasets, software packages, and results submitted so far are still available as they used to.

It should be fixed by now. However, if you run into problems, do not hesitate to contact us at tsd-benchmark ini. We apologize to all those that experienced problems using our server and were not answered there had been some email issues as well. The conference paper describing the dataset and the course of the competition can be cited by BibTeX :.

We want to thank the presenters for their interesting and fitting talks and the participants for the vivid disucssion afterwards. We put together the test and training dataset with full annotations for download. Please refer to the 'Dataset' section for the links. To our information the submission system will be online until at least March 8, , possibly longer.

For those of you are late with their results or intended to write a paper but were to pressed for time this should be an ideal opportunity. Due to anew and unannounced changes in IJCNN submission schedule, we decided to reopen the submission site. You will be able to submit results again and they will be displayed in the "Results" section as before.

However, for fairness reasons you will not be able to compete for the competition prizes. Please note the submission instructions below when submitting, as resubmission will not be possible. You can now see the final results evaluated on the entire test dataset in section "Results". In particular, we want to congratulate the teams. To this time, the submission deadline of the IJCNN has not been extended and it is still uncertain whether it will be.

Please do not forget to hand in your papers if you planned to do so. Please do also follow the submission instructions below. Please log into your account and open the site "Results". Below the ranking you will find the precision-recall pairs of your own submissions in case you want to use them in a plot.

We again will have to revise the final date of the submission phase, since another deadline extension for the IJCNN is under discussion. If the deadline is postponed, we will accordingly adjust the end of the submission phase. However, teams that prepare a paper should be prepared to hand in their papers on the upcoming Friday. As we discussed with several teams before, we cordially invite all participants to submit a paper on their respective algorithms to the IJCNN On the submission form please select the Main Research Topic 'C German Traffic Sign Detection Competition' under Cross-Disciplinary Topics to make sure that your papers can be related to this competition.

Please pay attention to the firm deadline on Friday, March 1, We will close the competition on Friday at 8 am CET. At that point you will be able to see your results evaluated on the whole evaluation dataset Section 'Results'. Logging into your account will make sure the precision-recall plots of your submissions are shown in the section 'Results'. Please download the test dataset from section "Dataset", process it with your algorithm of choice, and submit your result file by means of the new section "Submission".

As we described in detail in the section "Dataset", you can and should assemble several result files with the specified format of several of your algorithm's runs with possibly different parametrization in a single zip file. The result text files within are parsed on our server and the result is immediatly visible to you and all other participants.

Please note that the shown results are preliminary. The performance is evaluated on a subset of the whole test dataset for the time being. The final performance will be shown after the submission phase is over, which will be shorty before the IJCNN's paper submission deadline.

By revealing the final performance to a later point of time we hope to prevent teams from overfitting their parametrizations to the data. Please feel free to contact us with whatever questions or problems might occur during the competition. Good luck! The submission site will continue to stay open until shortly before the IJCNN's paper submission deadline. After checking with the IJCNN's competition organizer, we decided to postpone the announced submission phase to most likely the first weeks of February.

We will provide you with a definite date as soon as possible. It is very likely that the current submission deadline 22 February, will be extended.

We will take care that you will have enough time to prepare your papers after the competition. It will also be possible to hand in preliminary results. We are sorry to inform you on such short notice, but in order to attract as many teams as possible we want to align with the IJCNN's schedule.

Thanks to several remarks from participating teams we have updated the ground truth of the training dataset. You can download the data package or the ground truth text file only. If you decide for the latter, please consider that the submission example file ex. We added 6 further ground truth entries.

Furthermore a class ID was incorrectly annotated. Therefore one sign of a non-relevant category changes to "mandatory". Some teams aproached us with wishes for the date of the postponed submission phase. For example, the Chinese New Year holiday season is just around the corner. If you have problems with the submission being held in February, please let us know. Due to delays in the review process of the IJCNN we decided to adapt the schedule of our submission phase.

It will begin on January 23, , as planned, but will stay opened longer than previously announced. The final date is yet unclear, but we want to give a fair chance to teams that will be attracted by the IJCNN competition announcements. This should allow all teams working on papers to finish in time with first results. Unfortunately, the ReadMe. Two class IDs have mistakenly been added to the prohibitive and the danger traffic sign category.

This mistake only concerned the ReadMe. We thank the team that pointed this out to us and apologize for the inconvenience. For your motivation we uploaded results from three different baseline detectors that are popular in the literature: a Viola-Jones detector based on Haar features, a Hough-like voting scheme that detects circles and triangles, and a LDA based on HOG features that is used as a detector by presenting it all possible image sections.

You can now download code snippets in the section "Dataset" that facilitate your work with the training dataset. Both packages contain functions to read ground truth data from the training dataset, to test and evaluate your self-implemented detector functions by presenting the downloaded images one by one, and to evaluate a text file that contains the results of your detector in the format you would need to submit during the competition.

For details, downloads, and regulations feel free to browse the sections About and Dataset. Stallkamp, M. Schlipsing, J. Salmen, C. Igel, Man vs. Stallkamp and M. Schlipsing and J. Salmen and C. Therefore, the submission schedule was changed accordingly. First submission deadline: January 11, Notification of first decision: March 15, Revision submission deadline: May 15, Notification of final decision: August 15, Final manuscript camera ready submission deadline: September 1, Publication: Fourth issue December.

First submission deadline: November 11, Notification of first decision: December 20, Revision submission deadline: January 15, Notification of final decision: February 28, Final manuscript camera ready submission deadline: March 10, Publication: Second issue June. The result analysis tool that was presented at the conference is now available in the dataset section both as source code and binary.

It allows to compare results of different approaches and inspect the incorrectly classified images. The description provides some screenshots to give an idea of its capabilities.

The final test set is now available including ground truth in the dataset section. We want to thank all participants of the competition both online and on-site and attendees of the special session.

We congratulate all awardees. Some participants have processing power requirements that can only be fulfilled to a limited extent at the on-site competition, as it is not feasible to bring anything larger than a laptop.

Therefore, we will allow remote processing. We are going prepare download links upon request, so that you do not have to rely on the conference wifi network to upload the test set to your computing server. Please let us know if you plan to make use of this opportunity.

Please note: the competition itself remains an on-site event. Completely remote participation will not be possible. The final training set is available. It contains all data that was published as training and test data during the online competition in January.

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The manual is searchable online and can be downloaded as a series of PDF documents. Provides links to tutorials and training materials, including PowerPoint slides and print handouts. An extensive collection of articles about NCBI databases and software. Designed for a novice user, each article presents a general overview of the resource and its design, along with tips for searching and using available analysis tools. All chapters can be downloaded in PDF format. A suite of tag sets for authoring and archiving journal articles as well as transferring journal articles from publishers to archives and between archives. There are four tag sets: Archiving and Interchange Tag Set - Created to enable an archive to capture as many of the structural and semantic components of existing printed and tagged journal material as conveniently as possible; Journal Publishing Tag Set - Optimized for archives that wish to regularize and control their content, not to accept the sequence and arrangement presented to them by any particular publisher; Article Authoring Tag Set - Designed for authoring new journal articles; NCBI Book Tag Set - Written specifically to describe volumes for the NCBI online libraries.

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Welcome to the INI Benchmark Website!
2 Response
  1. Sora N.

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