Automated Leaf Health Assessment

Evaluating leaf health couldn't be easier. Users can upload a leaf image, and the model swiftly determines whether the leaf is in good health or not.

Disease Detection:

The model excels at identifying diverse leaf diseases. With training encompassing 38 distinct disease cases, it demonstrates robust detection capabilities across a wide range of plant health issues.

Application:

Try the application at huggingface space

Application link

Demo:

Input Page

Output Page

Dataset:

The project utilizes an image dataset sourced from a Kaggle dataset, link for dataset

However, to simplify retrieval, the dataset is stored within Hugging Face's platform. link for dataset

Technologies Used:

Languages and Tools:

Model Architecture:

The Yolov8 model architecture is employed for this project.

Link for official github repository