CLEA Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Auto Parts E-Commerce: Online retailers of car parts could use CLEA to help customers find the exact part they're looking for. Customers could upload a picture of the part they need, CLEA could identify it, and the website could provide the exact match or similar alternatives.
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Automotive Education: CLEA could be used in interactive learning environments about cars. For instance, in an automotive class, CLEA could facilitate the process of learning about car parts and how they work.
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Car Maintenance & Repair Services: Auto repair shops could use CLEA to help identify parts that need to be replaced or serviced. Mechanics could upload a photo of a car component, and CLEA could confirm its type and suggest ways to repair or replace it.
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Car Manufacturing Quality Control: Car manufacturers could use CLEA to ensure consistent, high-quality manufacturing of various car components. If a part isn't consistent with the expected design during production, the system could alert operators for further inspection or adjustment.
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Custom Car Building and Modding: For those building or customizing their own cars, CLEA could help identify correct parts and suggest appropriate alternatives. For example, it could help someone building a replica of an Italian car identify the right logo or indicate the correct engine type or wheel brand.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
clea_dataset,
title = { CLEA Dataset },
type = { Open Source Dataset },
author = { Clea Workspace },
howpublished = { \url{ https://universe.roboflow.com/clea-workspace/clea } },
url = { https://universe.roboflow.com/clea-workspace/clea },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-21 },
}