---
title: Tennis Court Demo 
emoji: 🏢
colorFrom: purple
colorTo: yellow
sdk: gradio
sdk_version: 3.41.2
app_file: app.py
pinned: false
---
Description: :

We present a demo for performing object segmentation with training a Yolov8-seg on Tennis-Court WorkSpace dataset. The model was trained on 2649 training images and validated on 250 images.

Usage :

You can upload Tennis-Court images, and the demo will provide you with your segmented image.

Dataset :

The dataset contains 3,146 images and is formatted in COCO style. To facilitate usage with YOLOv8-seg, we have converted it into YOLOv8 format.

-Training Set: It includes 2649 images and is intended for training the model.

-Validation Set: There are 250 images in the validation set, which is used for optimizing model parameters during development.

-Test Set: This set consists of 247 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/tenniscourtworkspace/teslasegmentation

Download Dataset:

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

!wget https://universe.roboflow.com/ds/BtN5ZgbhWx?key=oSuouE2ZiF

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