Name: dut-capstone-project-seg Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Textile Quality Assessment: The model could be used by textile manufacturers to automate the quality control process. By identifying fabric defects such as holes, stains, knots, and lines, the model could significantly reduce manual inspection cost and increase efficiency.
Fashion Industry Application: In the fashion industry, the model could be used to categorize materials based on their quality before they are used for garments. This could save time and resources by avoiding the use of defective fabrics.
Consumer Protection Software: An application could use this model to empower consumers to check the quality of textiles, curtains, bed sheets, or clothes before purchasing. The software could give a defect score to enable informed buying decisions.
Carpet Manufacturing: In carpet and rug industry, the model could be used to detect defects when manufacturing or repairing carpets to ensure the final product's quality.
Upholstery Quality Assurance: The model can be used in industries providing reupholstery services. This will help in ensuring that no defected fabric is used, thereby ensuring customer satisfaction and protecting business reputation.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            dut-capstone-project-seg_dataset,
                            title = { dut-capstone-project-seg Dataset },
                            type = { Open Source Dataset },
                            author = { Capstone Project },
                            howpublished = { \url{ https://universe.roboflow.com/capstone-project-baym7/dut-capstone-project-seg } },
                            url = { https://universe.roboflow.com/capstone-project-baym7/dut-capstone-project-seg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-04-28 },
                            }