--- title: "Rice Disease Classifier" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/802cf936-766a-4668-8ee6-b5dca50e8249" updated: "2026-11-12" --- # Rice Disease Classifier > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app from dnth that, going by its name, classifies rice plant diseases from pictures, with a saved learner file and sample images. For students and growers curious about plant disease classifiers. Rice Disease Classifier is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by dnth ## About ### What it is Rice Disease Classifier is a Gradio app from dnth. As its name says, it is meant to sort pictures of rice plants by disease. The repository holds a saved learner file and a folder of sample images. The README carries only the standard Space settings text. ### Who it suits It suits students, growers and agriculture hobbyists who want to see a small plant disease classifier at work. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Agriculture | Growers and advisers | Try a picture-based disease check | Upload a photo of a rice leaf and read the label | | Education | Students | See an image classifier in a finished app | Run one of the sample images | | Machine learning | Practitioners | Study a small classifier deployment | Read app.py next to the learner file | You can skip it if you need a field-ready diagnosis, since this is a demo with no stated accuracy. ### Where to use it - A web browser, on the Space's page at Hugging Face - Your own computer, on Windows, macOS or Linux | Use case | Who | What they get back | | --- | --- | --- | | Check a rice picture | Growers and students | A predicted disease label for the image | | Try the samples | Newcomers | Quick results from the sample images folder | ### How to set it up - Nothing to install if you use the Space online - Python, if you run a copy on your own computer - The Python packages in requirements.txt 1. Open the Space's page on Hugging Face to use it online. 2. To run a copy, install huggingface\_hub and download the Space into a folder. 3. Move into that folder and install Gradio, then the listed packages. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download dnth/rice-disease-classifier --repo-type space --local-dir rice-disease-classifier cd rice-disease-classifier pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Open the Space and give it a picture of a rice plant. The repository has a sample images folder you can try first. The README gives no steps, so follow the page's own controls. On your own copy, start the app with this command and open the local page Gradio prints. ```sh python app.py ``` ### Example Open the Space online and run one of the sample images. You get back a predicted label for that picture, though the README does not list which diseases the model knows. ### For newcomers and experts If you are new, start with a sample image, then try a clear close-up of a single leaf. Treat the result as a hint and not a diagnosis. If you know the field, the repository pairs app.py with a saved learner file, which means the app loads a trained model and runs it on a picture. The README gives no classes, dataset, accuracy or training details, so validate it on your own images. You give the app a rice picture → The app loads the saved learner → The model predicts a label → The page shows the prediction ### Good to know - License: afl-3 - Cost to run: none named. The online Space runs on Hugging Face. - Data it reaches: the pictures you give it, and the saved learner file in its repository. - Not for: farm decisions made on its output alone. The README states no accuracy. ## README ````markdown # Rice Disease Classifier A Gradio app from dnth that, going by its name, classifies rice plant diseases from pictures, with a saved learner file and sample images. For students and growers curious about plant disease classifiers. Made by dnth on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Rice Disease Classifier is a Gradio app from dnth. As its name says, it is meant to sort pictures of rice plants by disease. The repository holds a saved learner file and a folder of sample images. The README carries only the standard Space settings text. Who it suits: It suits students, growers and agriculture hobbyists who want to see a small plant disease classifier at work. ```table Industry | Who uses it | How they use it | Example Agriculture | Growers and advisers | Try a picture-based disease check | Upload a photo of a rice leaf and read the label Education | Students | See an image classifier in a finished app | Run one of the sample images Machine learning | Practitioners | Study a small classifier deployment | Read app.py next to the learner file ``` You can skip it if you need a field-ready diagnosis, since this is a demo with no stated accuracy. Where to use it: - A web browser, on the Space's page at Hugging Face - Your own computer, on Windows, macOS or Linux ```table Use case | Who | What they get back Check a rice picture | Growers and students | A predicted disease label for the image Try the samples | Newcomers | Quick results from the sample images folder ``` How to set it up: - Nothing to install if you use the Space online - Python, if you run a copy on your own computer - The Python packages in requirements.txt 1. Open the Space's page on Hugging Face to use it online. 2. To run a copy, install huggingface_hub and download the Space into a folder. 3. Move into that folder and install Gradio, then the listed packages. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download dnth/rice-disease-classifier --repo-type space --local-dir rice-disease-classifier cd rice-disease-classifier pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Open the Space and give it a picture of a rice plant. The repository has a sample images folder you can try first. The README gives no steps, so follow the page's own controls. On your own copy, start the app with this command and open the local page Gradio prints. ```sh python app.py ``` Example: Open the Space online and run one of the sample images. You get back a predicted label for that picture, though the README does not list which diseases the model knows. For newcomers and experts: If you are new, start with a sample image, then try a clear close-up of a single leaf. Treat the result as a hint and not a diagnosis. If you know the field, the repository pairs app.py with a saved learner file, which means the app loads a trained model and runs it on a picture. The README gives no classes, dataset, accuracy or training details, so validate it on your own images. ```flow You give the app a rice picture The app loads the saved learner The model predicts a label The page shows the prediction ``` Good to know: - License: afl-3 - Cost to run: none named. The online Space runs on Hugging Face. - Data it reaches: the pictures you give it, and the saved learner file in its repository. - Not for: farm decisions made on its output alone. The README states no accuracy. ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: afl-3.0 ## Links - Space: https://huggingface.co/spaces/dnth/rice-disease-classifier - Files: https://huggingface.co/spaces/dnth/rice-disease-classifier/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [dnth/rice-disease-classifier on Hugging Face](https://huggingface.co/spaces/dnth/rice-disease-classifier) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Rice Disease Classifier (this page) | 1 | gradio | afl-3.0 | 2022-03-30 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2022-03-30 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open dnth/rice-disease-classifier on Hugging Face](https://huggingface.co/spaces/dnth/rice-disease-classifier) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/802cf936-766a-4668-8ee6-b5dca50e8249) - [Its page on Mindket](https://mindket.com/p/802cf936-766a-4668-8ee6-b5dca50e8249)