Dataset for Paper: Text Line Detection and Recognition of Greek Polytonic Documents

<p>Dataset for Paper: Text Line Detection and Recognition of Greek Polytonic Documents,&nbsp;P. Kaddas, B. Gatos, K. Palaiologos, K. Christopoulou&nbsp;and K. Kritsis, 4th Workshop on Machine Learning (WML), San Jose, California, USA</p> <p>We introduce a new dataset, named GTLD-small dataset, with annotated text line quadrilateral polygons of 1.642 documents, including annotations on 3 datasets (Tobacco-3482, PIOP and ShakeIT&nbsp;dataset)</p> <table> <caption>Overview of the datasets included in this work and the number of images used for training, validation and testing.</caption> <thead> <tr> <th scope="col">Collection</th> <th scope="col">#Total</th> <th scope="col">#train</th> <th scope="col">#val</th> <th scope="col">#test</th> </tr> </thead> <tbody> <tr> <td>PIOP-small</td> <td>950</td> <td>672</td> <td>90</td> <td>188</td> </tr> <tr> <td>ShakeIT-small</td> <td>357</td> <td>264</td> <td>27</td> <td>66</td> </tr> <tr> <td>Tobacco-3482-small</td> <td>335</td> <td>240</td> <td>30</td> <td>65</td> </tr> </tbody> </table> <p>&nbsp;</p>