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Engage & Persist

Statistics & data analysis

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Research

Creature Count is a computer vision bird detector and identifier, and a website for personalized data managing. Esp32 cameras record birds at feeders, and the video goes through the 300 epoch custom YOLOv8 computer vision model, which detects what species the bird is. That data is securely stored in our PlanetScale database and then uploaded onto the Creature Count github and our website, which includes various data visualizations. The project aims to contribute to research and citizen science, as well as being useful to busy birdwatchers who can't sit watching their bird feeder all day but still don't want to miss any birds. It therefore increases the accessibility of birdwatching, promoting an appreciation of nature to a greater population.

Over the course of this studio, I learned more about code and the possibilities of my computer. I installed a lot of things, and explored the possibilities of Terminal, Github, Homebrew, VSCode, Warp, and Xcode, all for the first time. I dipped my toes into Python just a bit and making a variable swapper, tried Orange Data Mining, Google Teachable Machine, and OpeonVC. I also used Observable to set up a species population visualization. A