---
title: Materials Demo
emoji: 💻
colorFrom: purple
colorTo: red
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 Materials dataset. The model was trained on 4424 training images and validated on 464 images.

Usage :

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

Dataset :

The dataset contains 6,365 images and is formatted in COCO style. To facilitate usage with YOLOv8-seg, we have converted it into YOLOv8 format.

-Training Set: It includes 4424 images and is intended for training the model.

-Validation Set: There are 464 images in the validation set, which is used for optimizing model parameters during development.

-Test Set: This set consists of 1477 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/expand-ai/materials-semantic

Download Dataset:

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

!wget https://universe.roboflow.com/ds/LA0zbJDLJe?key=2sDT4tiaHm

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