classification Object Detection Dataset and Pre-Trained Model by Versionfinal2023

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Explore Dataset

Here are a few use cases for this project:

Textile Manufacturing Quality Control: The model could be used in the textile industry to identify different kinds of defects automatically, increasing efficiency and quality consistency by reducing the reliance on human inspectors.
Clothing & Apparel Companies: Clothing brands could use this model to verify the quality of their sourced fabrics before manufacturing, ensuring quality, thus improving customer satisfaction and reducing return rates due to quality issues.
Carpet & Rug Production: This model can help in examining the quality of rug or carpet materials, enabling the identification and segregation of defective pieces before they reach consumers.
Automated Industrial Inspections: This model could be equipped on robotic arms or inspection devices for real-time defect detection on the production line. Different actions can be taken based on defect types to minimize downtime
Textile Repair Services: Businesses offering fabric or textile repair service can use this model to categorize the type of defect and offer suitable repair solutions, thus improving the speed and efficiency of their service.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            classification-cmhfk_dataset,
                            title = { classification Dataset },
                            type = { Open Source Dataset },
                            author = { Versionfinal2023 },
                            howpublished = { \url{ https://universe.roboflow.com/versionfinal2023/classification-cmhfk } },
                            url = { https://universe.roboflow.com/versionfinal2023/classification-cmhfk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-05-03 },
                            }