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| 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 |