https://github.com/PetervanLunteren/EcoAssist

Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
https://github.com/PetervanLunteren/EcoAssist

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

Last synced: about 2 months ago
JSON representation

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

• Host: GitHub
• URL: https://github.com/PetervanLunteren/EcoAssist
• Owner: PetervanLunteren
• License: mit
• Created: 2022-01-29T13:43:22.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-13T23:08:59.000Z (2 months ago)
• Last Synced: 2024-04-14T07:12:21.913Z (2 months ago)
• Topics: animals, annotation-tool, cameratraps, classifier-model, conservation, deploy, ecology, linux, machine-learning, macos, megadetector, object-detection, python, windows, yolov5
• Language: Python
• Homepage:
• Size: 62.8 MB
• Stars: 91
• Watchers: 7
• Forks: 12
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: citation.cff

Lists

• open-sustainable-technology - EcoAssist - An open-source application designed to streamline the work of ecologists dealing with camera trap images. (Biosphere / Terrestrial Animals)
• awesome-stars - PetervanLunteren/EcoAssist - An application for detecting animals in camera trap images (Python)
• awesome-yolo-object-detection - PetervanLunteren/EcoAssist - code platform to train and deploy YOLOv5 object detection models. (Applications)

README

        



  





[![status](https://joss.theoj.org/papers/dabe3753aae2692d9908166a7ce80e6e/status.svg)](https://joss.theoj.org/papers/dabe3753aae2692d9908166a7ce80e6e)

[![Project Status: Active The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)

![GitHub](https://img.shields.io/github/license/PetervanLunteren/EcoAssist)

![GitHub last commit](https://img.shields.io/github/last-commit/PetervanLunteren/EcoAssist)



---



  

[![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/PetervanLunteren)




  

Official website: https://addaxdatascience.com/ecoassist/






EcoAssist is an application designed to streamline the work of ecologists dealing with camera trap images. It’s an AI platform that allows you to analyse images with machine learning models for automatic detection, offering ecologists a way to save time and focus on conservation efforts.



  

  

   

   



## Cite

Please use the following citations if you used EcoAssist in your research.

EcoAssist




[Link to paper](https://joss.theoj.org/papers/10.21105/joss.05581)

```BibTeX

@article{van_Lunteren_EcoAssist_2023,

  author = {van Lunteren, Peter},

  doi = {10.21105/joss.05581},

  journal = {Journal of Open Source Software},

  month = aug,

  number = {88},

  pages = {5581},

  title = {{EcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection models}},

  url = {https://joss.theoj.org/papers/10.21105/joss.05581},

  volume = {8},

  year = {2023}

}

```

MegaDetector




[Link to paper](https://arxiv.org/abs/1907.06772)

```BibTeX

@article{Beery_Efficient_2019,

  title     = {Efficient Pipeline for Camera Trap Image Review},

  author    = {Beery, Sara and Morris, Dan and Yang, Siyu},

  journal   = {arXiv preprint arXiv:1907.06772},

  year      = {2019}

}

```

## Uninstall

All files are located in one folder, called `EcoAssist_files`. You can uninstall EcoAssist by simply deleting this folder. Please be aware that it's hidden, so you'll probably have to adjust your settings before you can see it (find out how to: [macOS](https://www.sonarworks.com/support/sonarworks/360003040160-Troubleshooting/360003204140-FAQ/5005750481554-How-to-show-hidden-files-Mac-and-Windows-), [Windows](https://support.microsoft.com/en-us/windows/view-hidden-files-and-folders-in-windows-97fbc472-c603-9d90-91d0-1166d1d9f4b5#WindowsVersion=Windows_11), [Linux](https://askubuntu.com/questions/232649/how-to-show-or-hide-a-hidden-file)). If you're planning on updating EcoAssist, there is no need to uninstall it first. It will do that automatically. 

Location on Windows




  

```r

# All users

─── 📁Program Files

    └── 📁EcoAssist_files

# Single user

─── 📁Users

    └── 📁

        └── 📁EcoAssist_files

```

Location on macOS




  

```r

─── 📁Applications

    └── 📁.EcoAssist_files

```

Location on Linux




  

```r

─── 📁home

    └── 📁

        └── 📁.EcoAssist_files

```