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sugarcane-diagnosis-swin-tiny
rmezapi/sugarcane-diagnosis-swin-tiny
sugarcane-diagnosis-swin-tiny is a image classification model from rmezapi. Use it when you need a label for an image. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of the microsoft/swin-tiny-patch4-window7-224 model. It is fine-tuned on the Sugarcane Leaf Disease Dataset for 20 epochs using a 85-10-5 split for train, validation, and testing, re…
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From the Hugging Face model README
Sugarcane Leaf Disease Image Classification Model
This model is a fine-tuned version of the microsoft/swin-tiny-patch4-window7-224 model. It is fine-tuned on the Sugarcane Leaf Disease Dataset for 20 epochs using a 85-10-5 split for train, validation, and testing, respectively.
It identifies 5 classes, Healthy leaves, leaves infected with Mosaic disease, Red Rot, Rust disease, and yellow leaf disease.
Try it using this HuggingFace Space!!!
The model achieves ~97% accuracy on testing. Screenshots of data distribution and model performance metrics below.
- Task
- Image Classification
- Library
- transformers
- Type
- swin
- License
- mit
- Created
- Mar 14, 2025
- Updated
- Mar 14, 2025