Cassava Disease Classifier (ResNet50)
This model is a fine-tuned version of mesabo/agri-plant-disease-resnet50 on the Cassava Leaf Disease dataset. It is specifically designed to detect 5 common states of Cassava leaves, vital for food security in West Africa.
Classes Supported
- Cassava Bacterial Blight (CBB)
- Cassava Brown Streak Disease (CBSD)
- Cassava Green Mottle (CGM)
- Cassava Mosaic Disease (CMD)
- Healthy
How to use
from transformers import pipeline
classifier = pipeline("image-classification", model="nexusbert/resnet50-cassava-finetuned")
results = classifier("path_to_leaf_image.jpg")
print(results)
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Dataset used to train nexusbert/resnet50-cassava-finetuned
Space using nexusbert/resnet50-cassava-finetuned 1
Evaluation results
- accuracy on Cassava Leaf Diseaseself-reported0.950