Name: Outliers Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

1826 images

Explore Dataset

Here are a few use cases for this project:

Leather Quality Inspection: "Outliers" could be used by the leather manufacturing companies to evaluate the quality of their products. Any abnormal textures, cuts, or stains on leather fabrics could be instantly detected by the model, enabling quality control teams to speed up their inspection process.
Product Verification in E-commerce: Online retail shops selling leather products could use "Outliers" to verify the product images uploaded by sellers. Detecting any issues or inconsistencies in leather product images can help provide a quality certification and maintain a high standard of product listings.
Consumer Review Analysis: "Outliers" could be used to verify customer complaints or reviews regarding purchased leather goods. By analyzing pictures provided by customers, companies could effectively respond to any valid product defects.
Pre-Loved Goods Inspection: The model could assist second-hand goods websites or thrift stores in verifying the condition of leather goods. This could ensure that only goods meeting certain quality standards are accepted and sold.
Restoration and Repair Services: For businesses dealing with the restoration of antique or damaged leather items, "Outliers" could be used to spot problematic areas and assess the work needed for restoration or repair. This could help improve the service and pricing accuracy.

Cite This Project

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

@misc{
                            outliers_dataset,
                            title = { Outliers Dataset },
                            type = { Open Source Dataset },
                            author = { Renz },
                            howpublished = { \url{ https://universe.roboflow.com/renz/outliers } },
                            url = { https://universe.roboflow.com/renz/outliers },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-06-29 },
                            }