ICDAR2015 competition on smartphone document capture and OCR (SmartDoc) - Challenge 2
<p><strong>ICDAR2015 competition on smartphone document capture and OCR (SmartDoc)</strong></p> <p><strong>Challenge 2: MOBILE OCR COMPETITION</strong></p> <p>The goal of the competition is to extract the textual content from document images which are captured by mobile phones. The images are taken under varying conditions to provide a challenging input. The dataset was prepared for ICDAR2015-SmartDoc competition. For more details about the dataset please visit the competition's website:</p> <p>https://sites.google.com/site/icdar15smartdoc/home</p> <p>http://smartdoc.univ-lr.fr</p> <p>You may also refer to the following paper for more details on the ICDAR2015-SmartDoc competition:</p> <p>Jean-Christophe Burie, Joseph Chazalon, Mickaël Coustaty, Sébastien Eskenazi, Muhammad Muzzamil Luqman, Maroua Mehri, Nibal Nayef, Jean-Marc OGIER, Sophea Prum and Marçal Rusinol: “ICDAR2015 Competition on Smartphone Document Capture and OCR (SmartDoc)”, In 13th International Conference on Document Analysis and Recognition (ICDAR), 2015.</p> <p><strong>If you use this dataset, please send us a short email at <icdar.smartdoc (at) gmail.com> to tell us why it was useful to you, and whether you have results or publications we can reference on our website. Thank you!</strong></p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0