WCM ch4lr Computer Vision Project
Updated 2 years ago
Metrics
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.
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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 2024-11-17 },
}