---
license: gpl-3.0
metrics:
- accuracy
base_model: "Ultralytics/YOLOv8"
---

Update README.md
# Plant Growth Stage Classification

This project was created in the context of the [2024 GIL Hackathon](https://ef-sw.de/hackathon-2024/).
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).

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.

## Training Code

You can find the training code on [GitHub](https://github.com/kkmarv/plant-growth-stage-classification).