Leafy Vegetable Disease Detection Model
Model Description
This model is trained to detect diseases in leafy vegetables using images. It utilizes the PlantVillage dataset to identify various plant diseases.
Intended Use
This model can be used for:
- Detecting diseases in images of leafy vegetables.
- Providing feedback and recommendations for farmers and agricultural specialists.
How to Use
You can use this model by sending an image of a leafy vegetable to the Inference API endpoint.
Model Details
- Input: Image (JPEG/PNG)
- Output: Prediction of disease type with confidence scores.
Training Data
This model is trained on the PlantVillage dataset, which contains labeled images of healthy and diseased plants.
Limitations
- The model's performance may vary based on image quality and environmental conditions.
- It may not recognize diseases not present in the training dataset.
Example
Here’s an example of how to use this model with the Inference API:
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Inference API (serverless) does not yet support tf-keras models for this pipeline type.