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Introduction - TC-11

To verify results and create novel research, it is extremely important for the Document Image Analysis and Recognition (DIAR) community to be able to cross check and reproduce results described in published papers in the field. In order to achieve this, any datasets used as the basis for publications should be publicly available, as is the norm in many other disciplines. This initiative is not restricted to datasets. We are interested in archiving online any piece of data (ground-truth data, software,.

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Introduction - TC-11 | tc11.cvc.uab.es Reviews

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To verify results and create novel research, it is extremely important for the Document Image Analysis and Recognition (DIAR) community to be able to cross check and reproduce results described in published papers in the field. In order to achieve this, any datasets used as the basis for publications should be publicly available, as is the norm in many other disciplines. This initiative is not restricted to datasets. We are interested in archiving online any piece of data (ground-truth data, software,.

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4 datasets per publication

5 upload dataset

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Introduction - TC-11 | tc11.cvc.uab.es Reviews

https://tc11.cvc.uab.es

To verify results and create novel research, it is extremely important for the Document Image Analysis and Recognition (DIAR) community to be able to cross check and reproduce results described in published papers in the field. In order to achieve this, any datasets used as the basis for publications should be publicly available, as is the norm in many other disciplines. This initiative is not restricted to datasets. We are interested in archiving online any piece of data (ground-truth data, software,.

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Introduction - TC-11

http://tc11.cvc.uab.es/introduction

To verify results and create novel research, it is extremely important for the Document Image Analysis and Recognition (DIAR) community to be able to cross check and reproduce results described in published papers in the field. In order to achieve this, any datasets used as the basis for publications should be publicly available, as is the norm in many other disciplines. This initiative is not restricted to datasets. We are interested in archiving online any piece of data (ground-truth data, software,.

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News - TC-11

http://tc11.cvc.uab.es/news

The new TC11 Online Resources site is open for testing. The new TC11 Online Resources site is open for testing.

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Datasets per Publication - TC-11

http://tc11.cvc.uab.es/datasets

The MSRA Text Detection 500 Database (MSRA-TD500) is collected and released publicly as a benchmark to evaluate text detection algorithms, for the purpose of tracking the recent progresses in the field of text detection in natural images, especially the advances in detecting texts of arbitrary orientations. MSRA Text Detection 500 Database. 13-01-2014 (v. 1). Avg: 4.7 by 7 users. Ground Truth: GT for MSRA Text Detection 500 Database. 13-01-2014 (v. 1). Task: Text Detection in Natural Images. If you need ...

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Datasets per Topic - TC-11

http://tc11.cvc.uab.es/datasets/type

Alphabet Database: Alphabet IMG DB.zip. Contains all the alphabet letters used in the various publications about object recognition in large databases of line patterns. TradeMarks Image Database: TradeMarks IMG DB.zip. It is composed of 999 trademarks and logos. Source from http:/ www.eurecom.fr/ huet/work.html. 24-06-2014 (v. 1). Http:/ www.sage-eniso.org/content/fr/20/activ-data-base.html. A Dataset for Arabic Text Detection, Tracking and Recognition in News Videos - AcTiV. 16-03-2016 (v. 1). The colle...

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tc11.cvc.uab.es

Introduction - TC-11

To verify results and create novel research, it is extremely important for the Document Image Analysis and Recognition (DIAR) community to be able to cross check and reproduce results described in published papers in the field. In order to achieve this, any datasets used as the basis for publications should be publicly available, as is the norm in many other disciplines. This initiative is not restricted to datasets. We are interested in archiving online any piece of data (ground-truth data, software,.

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