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license: gpl-3.0 |
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metrics: |
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- accuracy |
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base_model: "Ultralytics/YOLOv8" |
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Update README.md |
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# Plant Growth Stage Classification |
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This project was created in the context of the [2024 GIL Hackathon](https://ef-sw.de/hackathon-2024/). |
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The objective of our task was to classify the growth stage of a diverse set of plants commonly found in Germany. The dataset used is private and crowd-sourced kindly provided by the DWD (German Weather Institute). It is based on images and data recorded by voluntary workers of the [WetterWarn App](https://www.dwd.de/EN/ourservices/warnwetterapp/warnwetterapp.html). |
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The repo contains the code used to train a [YOLOv8](https://github.com/ultralytics/ultralytics) model on the above mentioned dataset. It can be used to reproduce the results of the project. |
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## Training Code |
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You can find the training code on [GitHub](https://github.com/kkmarv/plant-growth-stage-classification). |
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