Published May 22, 2024
| Version v1
Dataset
Open
MapReader_railspace_and_building_outputs_2024
Authors/Creators
-
1.
The Alan Turing Institute
Description
This record reproduces the railspace and building predictions relating to MapReader in GeoHumanities workshop (SIGSPATIAL 2022).
The model used here is fine-tuned on the railspace and building annotations and is available at https://huggingface.co/Livingwithmachines/mr_resnest101e_finetuned_OS_6inch_2nd_ed_railspace_and_building.
See README.md for detailed decription of this record.
Files
README.md
Files
(1.3 GB)
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Additional details
Related works
- Is compiled by
- Software: https://github.com/Living-with-machines/MapReader (URL)
- Is derived from
- Dataset: 10.5281/zenodo.7147906 (DOI)
- Is described by
- Publication: 10.1145/3557919.3565812 (DOI)
Funding
- Arts and Humanities Research Council
- Data/Culture AH/Y00745X/1
- UK Research and Innovation
- Living with Machines AH/S01179X/1
- UK Research and Innovation
- The Alan Turing Institute EP/N510129/1
Software
- Repository URL
- https://github.com/Living-with-machines/MapReader
- Programming language
- Python
- Development Status
- Active