BusyBee 🐝 is an object detection system for detecting and classifying bees on the tribe level
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The goal of project Busy Bee is to create a lightweight object detection model capable of identifying Bees and tracking their movements. The classifications are done at the tribe level (as opposed to "Bee or No Bee"). To do this, we had to leverage foundation vision models (Grounding-DINO) to create a novel dataset of over 45,000 research-grade bee images from throughout the South Eastern United States, sourced from iNaturalist. The end goal is to create a model that is both performant and effective enough to be run on a Raspberry Pi Trail Camera.
If you'd like to play around with the Model, it's hosted here, on HuggingFace
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request