Statistical Methods Series: The DeepForest python package for Airborne Biodiversity Monitoring

Statistical Methods Series: The DeepForest python package for Airborne Biodiversity Monitoring

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Statistical Methods Series: The DeepForest python package for Airborne Biodiversity Monitoring
0:00 Ben Weinstein presented on "The DeepForest python package and Deep Learning for Airborne Biodiversity Monitoring" on January 6, 2025 for the “Statistical Methods” webinar series. This series is hosted by the Ecological Forecasting Initiative and the Ecological Society of America's Statistical Ecology Section. 13:49 Ben's recommendation to use Copilot/Cursor as a way to generate code or convert R to Python code 15:40 Ben continues to talk about DeepForest 52:29 The Q&A starts. Details about the seminar series can be found at: https://ecoforecast.org/workshops/statistical-methods-seminar-series/ The Python code used in the presentation is available at: https://github.com/eco4cast/Statistical-Methods-Seminar-Series/tree/main/Weinstein_DeepForest Links to other resources and projects Ben shared during the presentation. The DeepForest GitHub repo where you can connect with Ben to ask questions https://github.com/weecology/DeepForest/discussions/870 Million Trees Project: https://milliontrees.idtrees.org/en/latest/ NEON Trees: https://visualize.idtrees.org/ Label Studio: https://labelstud.io/ Comet ML: https://www.comet.com/site/