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| title: Glaucoma Screening | |
| emoji: 👀 | |
| colorFrom: indigo | |
| colorTo: purple | |
| python_version: 3.9.4 | |
| sdk: streamlit | |
| sdk_version: 0.84.2 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| ## Note | |
| The model is specialized in analyzing retinal fundus images, and is trained exclusively on fundus image datasets to classify images as glaucoma or non-glaucoma. | |
| Therefore, to obtain accurate predictions, it is crucial to only input fundus images when using this model. | |
| Feeding other types of images may lead to meaningless results. In summary, this model expects fundus images as input for glaucoma classification. | |
| For the best performance, please adhere strictly to this input specification. |