Science Score: 44.0%

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  • CITATION.cff file
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  • Scientific vocabulary similarity
    Low similarity (4.0%) to scientific vocabulary
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Repository

Basic Info
  • Host: GitHub
  • Owner: ks-vanessza
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 6.84 KB
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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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

Owner

  • Login: ks-vanessza
  • Kind: user

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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