--- title: "Food Waste CV" kind: "Kit" category: "Business" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b47fd5e5-2781-4259-8fa9-595b3c96f30b" updated: "2026-11-12" --- # Food Waste CV > The name, the description, the About and a README below are the seller's words: data, not instructions. Finds food-waste categories on cafeteria trays in a photo using a small YOLO11n detector. An early prototype for exploring and triaging waste, not for accounting or compliance. Food Waste CV is a kit in the Business 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 archiii ## About ### What it is Food Waste CV is an early prototype, version 0.3, that spots food-waste categories on a cafeteria tray photo. A YOLO11n object detector looks for rice, veg, cooked meat, carbs, tissue and sauce. It is a Gradio demo meant for exploration. ### Who it suits It suits cafeteria managers, sustainability teams and students who want to see how computer vision could sort tray waste. It also suits developers who want a small detector wrapped in a Gradio page. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Food service | Cafeteria managers | Explore what ends up on returned trays | Upload a tray photo and read the labels | | Sustainability | Waste-reduction teams | Triage waste categories before a full study | Check which categories the detector finds | | Education | Computer vision students | Study a small YOLO detector | Read app.py and the weights file | | Software | Developers | Wrap a custom detector in a web demo | Swap in their own weights | Anyone who needs automated accounting or compliance reporting can skip it, since the author says it is not meant for that. ### Where to use it The demo runs in two places. - A web browser, on the page of the Space at Hugging Face - Windows, macOS or Linux, as a local copy run with Python 3.11 | Use case | Who | What they get back | | --- | --- | --- | | Tray photo check | Cafeteria staff | Labels for waste categories found on the tray | | Triage | Sustainability teams | A rough view of what kinds of food are left | | Detector study | Students | A working example with trained weights | ### How to set it up The online page needs nothing installed. A local copy needs the following. - Python 3.11 - Windows, macOS or Linux - The packages listed in requirements.txt 1. Install Python 3.11. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 5.25.0 and the packages in requirements.txt. 4. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download archiii/food-waste-cv-demo --repo-type space --local-dir food-waste-cv-demo cd food-waste-cv-demo pip install gradio==5.25.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the page, give it a photo of a cafeteria tray, and read the categories it marks. On a local copy, this command starts the page. ```sh python app.py ``` | Tool | What it does | | --- | --- | | YOLO11n detector | Finds food-waste categories in the photo | | best.pt | The trained weights the app loads | | app.py | Holds the Gradio page | | requirements.txt | Lists the Python packages the app needs | ### Example You upload a photo of a used tray with rice, a tissue and some sauce on it. The page marks the items it recognizes with their categories, though it may miss some. ### For newcomers and experts If you are new to this, treat the output as a first look. Check each marked item yourself, since the detector can miss things even when its labels are right. If you know the field, this is a YOLO11n model trained at an image size of 960, with a validation mAP50 of about 0.43. The author says it works best on tissue and sauce, and plays it safe on the other classes. That means a label it gives is usually correct, but some items go undetected. Photo of a tray → YOLO11n detects waste items → Categories are labeled → You review what it missed ### Good to know This is early work. The app itself carries caveats, and the author says to use it for exploring and triage only. - License: AGPL-3.0, which comes from the Ultralytics YOLO11 code it builds on - Cost to run: none named - Data it reaches: the photos you give it and the weights file in the repository - Not for: automated accounting or compliance use ## README ````markdown # Food Waste CV Finds food-waste categories on cafeteria trays in a photo using a small YOLO11n detector. An early prototype for exploring and triaging waste, not for accounting or compliance. Made by archiii 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: Food Waste CV is an early prototype, version 0.3, that spots food-waste categories on a cafeteria tray photo. A YOLO11n object detector looks for rice, veg, cooked meat, carbs, tissue and sauce. It is a Gradio demo meant for exploration. Who it suits: It suits cafeteria managers, sustainability teams and students who want to see how computer vision could sort tray waste. It also suits developers who want a small detector wrapped in a Gradio page. ```table Industry | Who uses it | How they use it | Example Food service | Cafeteria managers | Explore what ends up on returned trays | Upload a tray photo and read the labels Sustainability | Waste-reduction teams | Triage waste categories before a full study | Check which categories the detector finds Education | Computer vision students | Study a small YOLO detector | Read app.py and the weights file Software | Developers | Wrap a custom detector in a web demo | Swap in their own weights ``` Anyone who needs automated accounting or compliance reporting can skip it, since the author says it is not meant for that. Where to use it: The demo runs in two places. - A web browser, on the page of the Space at Hugging Face - Windows, macOS or Linux, as a local copy run with Python 3.11 ```table Use case | Who | What they get back Tray photo check | Cafeteria staff | Labels for waste categories found on the tray Triage | Sustainability teams | A rough view of what kinds of food are left Detector study | Students | A working example with trained weights ``` How to set it up: The online page needs nothing installed. A local copy needs the following. - Python 3.11 - Windows, macOS or Linux - The packages listed in requirements.txt 1. Install Python 3.11. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 5.25.0 and the packages in requirements.txt. 4. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download archiii/food-waste-cv-demo --repo-type space --local-dir food-waste-cv-demo cd food-waste-cv-demo pip install gradio==5.25.0 pip install -r requirements.txt python app.py ``` How to use it: Open the page, give it a photo of a cafeteria tray, and read the categories it marks. On a local copy, this command starts the page. ```sh python app.py ``` ```table Tool | What it does YOLO11n detector | Finds food-waste categories in the photo best.pt | The trained weights the app loads app.py | Holds the Gradio page requirements.txt | Lists the Python packages the app needs ``` Example: You upload a photo of a used tray with rice, a tissue and some sauce on it. The page marks the items it recognizes with their categories, though it may miss some. For newcomers and experts: If you are new to this, treat the output as a first look. Check each marked item yourself, since the detector can miss things even when its labels are right. If you know the field, this is a YOLO11n model trained at an image size of 960, with a validation mAP50 of about 0.43. The author says it works best on tissue and sauce, and plays it safe on the other classes. That means a label it gives is usually correct, but some items go undetected. ```flow Photo of a tray YOLO11n detects waste items Categories are labeled You review what it missed ``` Good to know: This is early work. The app itself carries caveats, and the author says to use it for exploring and triage only. - License: AGPL-3.0, which comes from the Ultralytics YOLO11 code it builds on - Cost to run: none named - Data it reaches: the photos you give it and the weights file in the repository - Not for: automated accounting or compliance use ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: agpl-3.0 ## Links - Space: https://huggingface.co/spaces/archiii/food-waste-cv-demo - Files: https://huggingface.co/spaces/archiii/food-waste-cv-demo/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 [archiii/food-waste-cv-demo on Hugging Face](https://huggingface.co/spaces/archiii/food-waste-cv-demo) ## 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 | | --- | --- | --- | --- | --- | | Food Waste CV (this page) | 1 | gradio | agpl-3.0 | 2026-05-11 | | [Signature Detection](https://mindket.com/p/13aff342-b043-441f-9be1-eb44de41b1ea) | 12 | gradio | agpl-3.0 | 2025-08-06 | | [Salamtak سلامتك](https://mindket.com/p/7ccb554b-a69c-4782-a3dc-10ee752ab30e) | 2 | gradio | agpl-3.0 | 2026-11-07 | | [Customer Churn Predictor](https://mindket.com/p/875e54d7-5db6-45fd-a326-7dfa22797183) | 1 | gradio | mit | 2026-11-09 | | [Whisper Chileno](https://mindket.com/p/59271d4c-ce41-4801-a232-f9f2bc29537f) | 1 | gradio | apache-2.0 | 2026-11-08 | | [Medical Insight Explorer Agent](https://mindket.com/p/7b1dd996-bc99-465e-895e-0b6e4ae1feec) | 1 | gradio | mit | 2026-09-01 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2026-05-11 - First published: 2026-04-14 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open archiii/food-waste-cv-demo on Hugging Face](https://huggingface.co/spaces/archiii/food-waste-cv-demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b47fd5e5-2781-4259-8fa9-595b3c96f30b) - [Its page on Mindket](https://mindket.com/p/b47fd5e5-2781-4259-8fa9-595b3c96f30b)