--- title: "Multi Face Detection" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/a605e60d-d287-4b86-880d-5e6d3f09ab40" updated: "2026-11-13" --- # Multi Face Detection > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app that finds several faces in a picture, with two example photos included. Suits developers and students who want to try face detection in a browser. Multi Face Detection is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Theivaprakasham ## About ### What it is Multi Face Detection is a Gradio app by Theivaprakasham. By its name, it finds more than one face in a picture. The repository has two example photos beside the app code. The page has no description, so what it draws or returns is not confirmed. ### Who it suits Developers and students who want to see face detection on photos, or who want a short Gradio example to adapt. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Use the project as a pattern for a Gradio vision demo | Replace the example photos with their own | | Education | Computer vision students | Run the demo and read app.py to see how detection is called | Try the two bundled photos | | Photography | Hobbyists | Check how many faces it finds in a group picture | Upload a family photo they took | Skip it if you need to identify who a person is, because the name describes detection, not recognition. ### Where to use it - A web browser, on the Space's page on Hugging Face - Python 3.10 on Windows, macOS or Linux, using a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | Try face detection online | Anyone curious | The app's marking of the faces it finds | | Study a small vision demo | Students | A short Python project with two example photos | ### How to set it up - Nothing to install for the online version - Python 3.10 for a local copy - The packages listed in requirements.txt 1. Install the Hugging Face hub package. 2. Download the Space's files to a folder. 3. Move into that folder. 4. Install gradio 5.29.0, then the packages from requirements.txt. 5. Start the app with app.py. ```sh pip install -U huggingface_hub hf download Theivaprakasham/facedetect --repo-type space --local-dir facedetect cd facedetect pip install gradio==5.29.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page in a browser and give it a photo, or pick one of the two bundled examples. For a local copy, run the app and open the page Gradio opens for you. ```sh python app.py ``` | Tool | What it does | | --- | --- | | python app.py | Starts the Gradio app on your computer | | hf download | Copies the Space's files into a local folder | ### Example Open the Space and choose the first bundled photo. The app should show the result of its face detection on that picture. The page does not say how results are drawn, so rely on what it shows. ### For newcomers and experts If you are new to this, try the two bundled photos first, then a photo of your own with several people in it. Use only photos you have the right to use. If you know the field, the page names no detector, model or threshold. It pins Gradio 5.29.0 and Python 3.10, so read app.py for the actual method before you rely on it. A photo goes in → The app finds faces → Boxes or marks are drawn → Gradio shows the picture ### Good to know - The page gives no description, accuracy figures or limits on image size. - The online version needs nothing installed, and a local copy needs Python 3.10. - License: apache-2. - Cost to run: none named, only the packages in requirements.txt. - Data it reaches: the photo you give it. On the hosted Space, that photo is handled on Hugging Face. - Not for: identifying people. The source describes detection and says nothing about recognition. ## README ````markdown # Multi Face Detection A Gradio app that finds several faces in a picture, with two example photos included. Suits developers and students who want to try face detection in a browser. Made by Theivaprakasham 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: Multi Face Detection is a Gradio app by Theivaprakasham. By its name, it finds more than one face in a picture. The repository has two example photos beside the app code. The page has no description, so what it draws or returns is not confirmed. Who it suits: Developers and students who want to see face detection on photos, or who want a short Gradio example to adapt. ```table Industry | Who uses it | How they use it | Example Software | Developers | Use the project as a pattern for a Gradio vision demo | Replace the example photos with their own Education | Computer vision students | Run the demo and read app.py to see how detection is called | Try the two bundled photos Photography | Hobbyists | Check how many faces it finds in a group picture | Upload a family photo they took ``` Skip it if you need to identify who a person is, because the name describes detection, not recognition. Where to use it: - A web browser, on the Space's page on Hugging Face - Python 3.10 on Windows, macOS or Linux, using a downloaded copy ```table Use case | Who | What they get back Try face detection online | Anyone curious | The app's marking of the faces it finds Study a small vision demo | Students | A short Python project with two example photos ``` How to set it up: - Nothing to install for the online version - Python 3.10 for a local copy - The packages listed in requirements.txt 1. Install the Hugging Face hub package. 2. Download the Space's files to a folder. 3. Move into that folder. 4. Install gradio 5.29.0, then the packages from requirements.txt. 5. Start the app with app.py. ```sh pip install -U huggingface_hub hf download Theivaprakasham/facedetect --repo-type space --local-dir facedetect cd facedetect pip install gradio==5.29.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space page in a browser and give it a photo, or pick one of the two bundled examples. For a local copy, run the app and open the page Gradio opens for you. ```sh python app.py ``` ```table Tool | What it does python app.py | Starts the Gradio app on your computer hf download | Copies the Space's files into a local folder ``` Example: Open the Space and choose the first bundled photo. The app should show the result of its face detection on that picture. The page does not say how results are drawn, so rely on what it shows. For newcomers and experts: If you are new to this, try the two bundled photos first, then a photo of your own with several people in it. Use only photos you have the right to use. If you know the field, the page names no detector, model or threshold. It pins Gradio 5.29.0 and Python 3.10, so read app.py for the actual method before you rely on it. ```flow A photo goes in The app finds faces Boxes or marks are drawn Gradio shows the picture ``` Good to know: - The page gives no description, accuracy figures or limits on image size. - The online version needs nothing installed, and a local copy needs Python 3.10. - License: apache-2. - Cost to run: none named, only the packages in requirements.txt. - Data it reaches: the photo you give it. On the hosted Space, that photo is handled on Hugging Face. - Not for: identifying people. The source describes detection and says nothing about recognition. ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Theivaprakasham/facedetect - Files: https://huggingface.co/spaces/Theivaprakasham/facedetect/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 [Theivaprakasham/facedetect on Hugging Face](https://huggingface.co/spaces/Theivaprakasham/facedetect) ## 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 | | --- | --- | --- | --- | --- | | Multi Face Detection (this page) | 1 | gradio | apache-2.0 | 2026-06-26 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | 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: 2026-06-26 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Theivaprakasham/facedetect on Hugging Face](https://huggingface.co/spaces/Theivaprakasham/facedetect) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a605e60d-d287-4b86-880d-5e6d3f09ab40) - [Its page on Mindket](https://mindket.com/p/a605e60d-d287-4b86-880d-5e6d3f09ab40)