Political Party Symbol Detector V1

Political Party Symbol Detector V1

Finds political party symbols in a picture with a YOLOv5 detector in a Gradio page. For students and developers who want to try object detection on party logos and election symbols.

Made by Sa-m 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: This Gradio app from Sa-m runs a YOLOv5 object detector built to spot political party symbols in pictures. The source names the model as Ultralytics/YOLOv5 and does not say which parties or symbols it covers. You use it in a browser, or you run a copy on your own computer.

Who it suits: It suits students and developers who want to see object detection on logos and symbols, and researchers who study how detectors handle party imagery.

Industry | Who uses it | How they use it | Example
Education | Computer vision students | See a custom YOLOv5 detector run on symbols | Open the Space and try a picture
Research | Media researchers | Check how a detector handles party imagery | Run a few sample pictures through it
Software | Python developers | Read how a YOLOv5 model is served in Gradio | Download the Space and open app.py

Skip it if you need to recognize people, because the source describes a detector for symbols only.

Where to use it:

• A web browser: go to the Space on Hugging Face and try it with no install
• Windows, macOS or Linux: run a copy with Python

Use case | Who | What they get back
Detect a symbol | Students | A marked-up result for a picture that holds a party symbol
Test a detector | Researchers | A quick look at how it handles different images
Study the code | Developers | An app.py that serves a YOLOv5 model in Gradio

How to set it up: You need a few things in place first.

• Python with pip, on Windows, macOS or Linux
• An internet connection to fetch the files from Hugging Face
• Spare disk space, since the packages for YOLOv5 can be large

1. Install the Hugging Face hub package.
2. Download the Space into a local folder.
3. Move into that folder.
4. Install Gradio 5.34.1 and the packages listed in requirements.txt.
5. Start the app.

pip install -U huggingface_hub
pip install gradio==5.34.1
pip install -r requirements.txt
python app.py

Put your own value in its key setting first.

How to use it: Online, use the Gradio interface the Space page shows. On your own computer, run the main file from the project folder and open the page it serves in your browser.

python app.py

Example: You run python app.py inside the project folder, open the page and give it a picture that contains a party symbol. The page returns the detector's result for that picture.

For newcomers and experts: If this is new to you, start online. Go to the Space and try one picture before you install anything. Object detection means the model finds and labels things inside an image.

If you know the field, note that the repository holds a Content folder and a packages.txt next to app.py, and the version tag V1 marks a first release. The source gives no class list, training data or accuracy figures, so test it on your own images.

Open the Space or run app.py
The Gradio page loads
You give it a picture
The YOLOv5 model looks for symbols
The result appears on the page

Good to know: The source gives no accuracy numbers, and a detector can miss or mislabel symbols, so check its results by eye.

• License: mit
• Cost to run: none named, no API key, account or paid service
• Data it reaches: the pictures you give it and the files in the repository, with nothing else listed

On Hugging Face, 13 November 2026

• Likes: 2
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/Sa-m/YoloV5-Party-Symbol-Detector-V1
• Files: https://huggingface.co/spaces/Sa-m/YoloV5-Party-Symbol-Detector-V1/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.