EcoAssist

An open-source application designed to streamline the work of ecologists dealing with camera trap images.
https://github.com/petervanlunteren/addaxai

Category: Biosphere
Sub Category: Terrestrial Wildlife

Keywords

animals annotation-tool cameratraps classifier-model conservation deploy ecology linux machine-learning macos megadetector object-detection python windows yolov5

Keywords from Contributors

wildlife data-structure camera-traps climate sustainability community sharing active-learning geocode virtualization

Last synced: about 4 hours ago
JSON representation

Repository metadata

Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model

• Host: GitHub
• URL: https://github.com/petervanlunteren/addaxai
• Owner: PetervanLunteren
• License: mit
• Created: 2022-01-29T13:43:22.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2025-04-20T23:01:59.000Z (7 days ago)
• Last Synced: 2025-04-21T14:31:39.403Z (6 days ago)
• Topics: animals, annotation-tool, cameratraps, classifier-model, conservation, deploy, ecology, linux, machine-learning, macos, megadetector, object-detection, python, windows, yolov5
• Language: Python
• Homepage: https://addaxdatascience.com/addaxai/
• Size: 124 MB
• Stars: 133
• Watchers: 12
• Forks: 19
• Open Issues: 6
• Releases: 50
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: citation.cff
  • Zenodo: .zenodo.json

README.md

@article{van Lunteren2023,
  title = {AddaxAI: A no-code platform to train and deploy custom YOLOv5 object detection models},
  author = {Peter van Lunteren},
  journal = {Journal of Open Source Software},
  doi = {10.21105/joss.05581},
  url = {https://doi.org/10.21105/joss.05581},
  year = {2023},
  publisher = {The Open Journal},
  volume = {8},
  number = {88},
  pages = {5581}
}

Citation (citation.cff)

cff-version: "1.2.0"
authors:
- family-names: Lunteren
  given-names: Peter
  name-particle: van
  orcid: "https://orcid.org/0000-0001-5488-4225"
doi: 10.5281/zenodo.7223363
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Lunteren
    given-names: Peter
    name-particle: van
    orcid: "https://orcid.org/0000-0001-5488-4225"
  date-published: 2023-08-04
  doi: 10.21105/joss.05581
  issn: 2475-9066
  issue: 88
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 5581
  title: "AddaxAI: A no-code platform to train and deploy custom
    YOLOv5 object detection models"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.05581"
  volume: 8
title: "AddaxAI: A no-code platform to train and deploy custom YOLOv5
  object detection models"

Owner metadata

• Name: Peter van Lunteren
• Login: PetervanLunteren
• Email:
• Kind: user
• Description: Wildlife ecologist and data scientist with a special interest in ML
• Website:
• Location: Utrecht, NL
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/85185478?u=167d3f64f0865deaab1c0fe03d8049eeb4b6229d&v=4
• Repositories: 3
• Last ynced at: 2023-05-12T10:23:04.957Z
• Profile URL: https://github.com/PetervanLunteren

GitHub Events

Total

• Create event: 16
• Issues event: 16
• Release event: 9
• Watch event: 6
• Delete event: 8
• Issue comment event: 28
• Push event: 271
• Pull request review event: 1
• Pull request event: 10
• Fork event: 3

Last Year

• Create event: 16
• Issues event: 16
• Release event: 9
• Watch event: 6
• Delete event: 8
• Issue comment event: 28
• Push event: 271
• Pull request review event: 1
• Pull request event: 10
• Fork event: 3

Committers metadata

Last synced: 6 days ago

Committer domains:

• peters-mbp-2.localdomain: 1
• gmx.de: 1
• cs.stanford.edu: 1
• peters-mbp-2.home: 1
• pvanlunteren.com: 1

Issue and Pull Request metadata

Last synced: 1 day ago

Dependencies

Score: 7.237059026124737