WCM ch4lr Computer Vision Project
Here are a few use cases for this project:
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Furniture Inventory Management: The model can be utilized by online furniture retailers to categorize and track their chair inventory based on different chair classes, making it easier to manage their product listings.
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Home Decoration Apps: This model can be integrated into home decoration or interior design apps to identify various types of chairs in an environment, assisting users in visualizing different seating arrangements or styles.
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Accessibility Evaluation: This model can be used to identify chairs in public spaces (like parks, malls or offices) and evaluate accessibility or seating capacity for better urban planning or efficiency improvements.
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Augmented Reality Gaming: Game developers can employ this model to identify real world chairs, which can then be integrated into AR games as interactive objects.
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Automatic Image Categorization: For photo storage services, this model can be useful to auto-tag or categorize images based on the type the chair visible in the picture, enhancing searchability and organization.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
wcm-ch4lr_dataset,
title = { WCM ch4lr Dataset },
type = { Open Source Dataset },
author = { TIP Ch41r },
howpublished = { \url{ https://universe.roboflow.com/tip-ch41r/wcm-ch4lr } },
url = { https://universe.roboflow.com/tip-ch41r/wcm-ch4lr },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-04-26 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the WCM ch4lr project in your project.
