https://github.com/creativenick/monkeyhealth

An object detector using YOLOv3 Darknet that can identify four different types of white blood cells in rhesus macaque monkeys
https://github.com/creativenick/monkeyhealth

artificial-intelligence darknet darknet-yolo google-colab google-colaboratory neural-network object-detection yolo yolov3

Last synced: 2 months ago
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An object detector using YOLOv3 Darknet that can identify four different types of white blood cells in rhesus macaque monkeys

• Host: GitHub
• URL: https://github.com/creativenick/monkeyhealth
• Owner: CreativeNick
• License: apache-2.0
• Created: 2021-08-05T05:29:28.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-08-13T16:47:50.000Z (about 4 years ago)
• Last Synced: 2025-04-08T17:32:51.197Z (6 months ago)
• Topics: artificial-intelligence, darknet, darknet-yolo, google-colab, google-colaboratory, neural-network, object-detection, yolo, yolov3
• Language: Jupyter Notebook
• Homepage:
• Size: 10.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          








  
Monkey Health White Blood Cell Object Detector

  


    An object detector using YOLOv3 Darknet that can identify four different types of white blood cells in rhesus macaque monkeys

    


    




  About The Project •

  How To Use •

  Example Detections •

  Credits 

  


# About The Project

This project uses object detection to identify four different types of whtie blood cells in rhesus macaque monkeys: monocyte, eosinophil, neutrophil, and lymphocyte white blood cells. It uses YOLOv3 Darknet and can be run through Google Colab. I have an article on Medium explaining this project in detail [here](https://creativenick.medium.com/using-yolov3-to-identify-white-blood-cells-in-rhesus-macaque-monkeys-d5513b5c41dd).

# How to Use

Clone the repository in Google Colab

```py

!git clone https://github.com/CreativeNick/MonkeyHealth.git

```

# Example Detections





# Credits

- Credits to  [Zooniverse](https://www.zooniverse.org/projects/mbarrierz/monkey-health-explorer) for the data and making this project possible