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- A Data Set of Annotated Historical Maps - A Data Set of Annotated Historical Maps - Map Dataset
A Data Set of Annotated Historical Maps - A Data Set of Annotated Historical Maps - Map Dataset
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Data set designed for testing the performance of optical character recognition algorithms on text in scanned historical map images.
| Title | A Data Set of Annotated Historical Maps: Map Dataset |
| creator | Chande, Ravi (Class of 2011) |
| creator | Gumm, Dylan (Class of 2011) |
| creator | Weinman, Jerod J. (Faculty/Staff) |
| Supporting host | Grinnell College. Computer Science |
| Supporting host | David Rumsey Collection |
| Index Date | 2013 |
| Date Issued | 2013-07 |
| Date (Other) | 2013-07 |
| Publisher | Grinnell College |
| description | This data set is designed for testing the performance of optical character recognition algorithms on text in scanned historical map images. Thirty maps from the nineteenth and early twentieth centuries were chosen from the David Rumsey Map Collection (http://davidrumsey.com). Most maps are of individual states, though some are regional and one is of the entire U.S.; most feature little handwritten text. The original MrSid files are converted into uncompressed TIFF images for a manual annotation, stored in XML format. The authors gratefully acknowledge the David Rumsey Map Collection as the source of the map images, which come with the following notice: Images copyright +? 2000 by Cartography Associates. Images may be reproduced or transmitted, but not for commercial use. This work is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 3.0 Unported] license (http://creativecommons.org/licenses/by-nc-sa/3.0). By downloading any images from this site, you agree to the terms of that license. |
| Topic | Maps |
| Topic | Optical character recognition |
| Temporal | 21st century |
| Related Item | Faculty Scholarship |
| Related Item | Student Scholarship |
| Related Item | Scholarship at Grinnell |
| Related Item | Digital Grinnell |
| Genre | Essays |
| Extent | 2 pages |
| Media Type | application/pdf |
| Digital Origin | born digital |
| Classification | QA76 |
| Language | English |
| Identifier (local) | grinnell:10469 |
| Identifier (hdl) | http://hdl.handle.net/11084/10469 |
| Access Condition | Copyright to this work is held by the author(s), in accordance with United States copyright law (USC 17). Readers of this work have certain rights as defined by the law, including but not limited to fair use (17 USC 107 et seq.). |
| Group Record | |
|---|---|
| Title | A Data Set of Annotated Historical Maps |
| creator | Chande, Ravi (Class of 2011) |
| creator | Gumm, Dylan (Class of 2011) |
| creator | Weinman, Jerod J. (Faculty/Staff) |
| supporting host | Grinnell College. Computer Science |
| Index Date | 2013 |
| Date Issued | 2013-07 |
| Publisher | Grinnell College |
| description | This data set is designed for testing the performance of optical character recognition algorithms on text in scanned historical map images. Thirty maps from the nineteenth and early twentieth centuries were chosen from the David Rumsey Map Collection (http://davidrumsey.com). Most maps are of individual states, though some are regional and one is of the entire U.S.; most feature little handwritten text. The original MrSid files are converted into uncompressed TIFF images for a manual annotation, stored in XML format. The authors gratefully acknowledge the David Rumsey Map Collection as the source of the map images, which come with the following notice: Images copyright +? 2000 by Cartography Associates. Images may be reproduced or transmitted, but not for commercial use. This work is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 3.0 Unported] license (http://creativecommons.org/licenses/by-nc-sa/3.0). By downloading any images from this site, you agree to the terms of that license. |
| Topic | Maps |
| Topic | Optical character recognition |
| Temporal | 21st century |
| Related Item | Faculty Scholarship |
| Related Item | Student Scholarship |
| Related Item | Scholarship at Grinnell |
| Related Item | Digital Grinnell |
| Extent | 8 objects |
| Digital Origin | born digital |
| Classification | QA76 |
| Language | English |
| Identifier (local) | grinnell:3246 |
| Identifier (hdl) | http://hdl.handle.net/11084/3246 |
| Access Condition | Copyright to this work is held by the author(s), in accordance with United States copyright law (USC 17). Readers of this work have certain rights as defined by the law, including but not limited to fair use (17 USC 107 et seq.). |