---
title: Wheel Segmentation Demo
emoji: 📚
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 3.42.0
app_file: app.py
pinned: false
---

Description: :

We present a demo for performing object segmentation with training a Yolov8-seg on wheel Image dataset. The model was trained on 696 training images and validated on 199 images.

Usage :

You can upload wheel Image images, and the demo will provide you with your segmented image.

Dataset :

This dataset comprises a total of 994 images, which are divided into three distinct sets for various purposes:

-Training Set: It includes 696 images and is intended for training the model.

-Validation Set: There are 199 images in the validation set, which is used for optimizing model parameters during development.

-Test Set: This set consists of 99 images and serves as a separate evaluation dataset to assess the performance of trained models.

-License: This dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

To access and download this dataset, please follow this link: https://universe.roboflow.com/project-wce7s/1000_seg_wheel

Download Dataset:

To download the dataset we used, you can use the following command in colab :

!wget https://universe.roboflow.com/ds/OPPOJjnJPs?key=5yzDMD610e

Feel free to explore and use this repository for your object segmentation needs. If you have any questions or need assistance, please don't hesitate to reach out