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Description
Varoa mites are one of the parasites which bees need to fight with. To know the healthyness of a beehive, the number of Varoa mites is a good indicator. Also to see if one beetribe is more resistant then the other, a continuous monitoring is needed.
To speed up the counting, I would like to utilize image recognition software.
Goals
- A working recognition of Varoa mites
- Running on Mobile devices
Resources
- https://github.com/HumanSignal/label-studio/
- https://github.com/ultralytics/ultralytics (yolo)
- https://onnxruntime.ai/ for the onnx excursion
- https://github.com/tensorflow/tfjs used for the webfrontent
Status
- https://github.com/cfconrad/varroa-count-web-app
- https://clemix.de/varroa
- Use example images from: https://github.com/cfconrad/varroa-count-web-app/tree/main/examples
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This project is part of:
Hack Week 25
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