Name: BKDN-CAPSTONE-PROJECT 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 Control: This model can be used in the textile manufacturing industry for quality inspection and control processes. It can autonomously detect Stain, Hole, Knot, Line defects on the fabric, thus reducing manual inspection efforts while increasing accuracy and efficiency.
Second-hand Clothing Industry: This solution could be used in the second-hand clothing business to quickly and accurately assess the quality of garments received, facilitating the grading and pricing process.
Automated Garment Sorting: In large scale garment businesses and warehouses, the model can help in the automated sorting of garments based on their quality by inspecting for fabric defects.
Clothing Rental Services: BKDN-CAPSTONE-PROJECT can be used in clothing rental services to inspect returned clothes for any potential damages like stains or holes, ensuring the quality of items available for rent.
Laundry/Dry Cleaning Services: The model can be used in laundry or dry cleaning services to check for specific fabric defects before and after the cleaning process. Any post-cleaning defects can be quickly identified and addressed.

Cite This Project

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

@misc{
                            bkdn-capstone-project_dataset,
                            title = { BKDN-CAPSTONE-PROJECT Dataset },
                            type = { Open Source Dataset },
                            author = { Capstone Project },
                            howpublished = { \url{ https://universe.roboflow.com/capstone-project-baym7/bkdn-capstone-project } },
                            url = { https://universe.roboflow.com/capstone-project-baym7/bkdn-capstone-project },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-07-27 },
                            }