FabricClassv2 Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Textile Industry Quality Control: FabricClassv2 could be used in manufacturing settings for automatic fabric identification. This could help identify and separate different kinds of fabrics swiftly and accurately, improving efficiency and productivity in the textile industry.
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Retail and E-commerce: Online clothing stores can use this model to automatically tag the type of fabric used in their items, enhancing search features and helping customers more easily find products based on their fabric preference.
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Recycling and Waste Treatment: This computer vision model could help in identifying and sorting different types of fabric waste for more efficient recycling or repurposing, thus promoting sustainability efforts.
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Educational Tool: FabricClassv2 can be utilized as a tool for teaching fabric types for fashion design students or textile artists. By scanning real fabric samples, users can get instant identification and reinforcement of learning.
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Custom Clothing Applications: Personal style and comfort significantly depend on fabric type. Users can utilize FabricClassv2 to scan clothes they find comfortable and identify the fabric. Then, they can use that data to search for or commission more clothes made from the same material.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fabricclassv2_dataset,
title = { FabricClassv2 Dataset },
type = { Open Source Dataset },
author = { fabricdataset },
howpublished = { \url{ https://universe.roboflow.com/fabricdataset-nqhts/fabricclassv2 } },
url = { https://universe.roboflow.com/fabricdataset-nqhts/fabricclassv2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-12-23 },
}