--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: cv_apple_leaf_disease_detection results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.9758327603340149 --- # cv_apple_leaf_disease_detection Autogenerated by HuggingPics🤗🖼️ Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb). Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics). ## Example Images #### Alternaria leaf spot ![Alternaria leaf spot](images/Alternaria_leaf_spot.jpg) #### Brown spot ![Brown spot](images/Brown_spot.jpg) #### Frogeye leaf spot ![Frogeye leaf spot](images/Frogeye_leaf_spot.jpg) #### Grey spot ![Grey spot](images/Grey_spot.jpg) #### Health ![Health](images/Health.jpg) #### Mosaic ![Mosaic](images/Mosaic.jpg) #### Powdery mildew ![Powdery mildew](images/Powdery_mildew.jpg) #### Rust ![Rust](images/Rust.jpg) #### Scab ![Scab](images/Scab.jpg)