Python-based dynamic text synthesis tool supporting direct connections to Tensorflow
creator
Chen, Ziwen (Class of 2020)
creator
Niehus-Staab, Liam (Class of 2020)
creator
Weinman, Jerod J. (Faculty/Staff)
Title
Map Text Synthesizer
Alternative Title
MapTextSynthesizer
supporting host
Grinnell College. Computer Science
Index Date
2019
Publisher
Grinnell College
Genre
Geodatabases
Digital Origin
born digital
Extent
1 file 285.01 KB
Media Type
application/x-zip
Language
English
Topic
Neural networks (Computer science)
Topic
Maps
Topic
Optical character recognition
Topic
Geographic Information Systems
Temporal
21st century
Classification
QA76
Related Item
Student Scholarship
Related Item
Faculty Scholarship
Related Item
Scholarship at Grinnell
Related Item
Digital Grinnell
Identifier (hdl)
http://hdl.handle.net/11084/23324
Identifier (local)
grinnell:23324
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.).
Type of Resource
dataset
Group Record
creator
Weinman, Jerod J. (Faculty/Staff)
creator
Gifford, Nathan (Class of 2020)
creator
Lamsal, Abyaya (Class of 2019)
Title
Deep Neural Networks for Text Detection and Recognition in Historical Maps
supporting host
Grinnell College. Computer Science
Index Date
2019
Publisher
Grinnell College
Digital Origin
born digital
Extent
9 objects
Language
English
Topic
Neural networks (Computer science)
Topic
Maps
Topic
Optical character recognition
Topic
Geographic Information Systems
Temporal
21st century
Classification
QA76
Related Item
Faculty Scholarship
Related Item
Student Scholarship
Related Item
Scholarship at Grinnell
Related Item
Digital Grinnell
Identifier (hdl)
http://hdl.handle.net/11084/23320
Identifier (u1)
weinman
Identifier (u2)
CSC
Identifier (local)
grinnell:23320
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.).
