metadata

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. 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.

The repo contains the code used to train a YOLOv8 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.