inaturalist2plant.id
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (4.0%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: ks-vanessza
- License: mit
- Language: Python
- Default Branch: main
- Size: 6.84 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
License
Citation
README.md
iNaturalist To Plant.id prediction
1) Run extract_inaturalist_img.py to get the img source
To get prediction from Plant.id first we need the image link.
- Refer to iNaturalist API for parameter settings
- Add your CSV with the following structure with x in the first column and the observation links below
Example for df_inat.csv structure:
x
https://www.inaturalist.org/observations/185168630
https://www.inaturalist.org/observations/185168603
https://www.inaturalist.org/observations/185168585
https://www.inaturalist.org/observations/185168570
https://www.inaturalist.org/observations/185168542
note: The CSV is loaded from ../Data_processing/df_inat.csv
2) Run get_predicition.py to get the predictions
- Add your API key
- Refer to Plant.id API Documentation and Kindwise for parameter settings
Owner
- Login: ks-vanessza
- Kind: user
- Repositories: 1
- Profile: https://github.com/ks-vanessza
Citation (CITATION.cff)
cff-version: 1.2.0
title: iNaturalist To Plant.id Prediction
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Vanessza
family-names: Cseh-Koos
email: vak00013@students.stir.ac.uk
abstract: >-
This project enables integration between iNaturalist and
Plant.id using Python. Automates fetching image links from
iNaturalist observations and submits them to Plant.id for
species identification, utilising their APIs. The project
is open-source under the MIT licence.
keywords:
- iNaturalist
- Plant.id
- plant prediction
- plant species prediction
- Python
license: MIT
url: https://github.com/ks-vanessza/iNaturalist2Plant.id
date-released: 2024-01-28
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