al items Computer Vision Project

Orbit Exports

Updated 2 years ago

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Classes (5)
pillow
ribbons
stockings
table
tree skirt
Description

Here are a few use cases for this project:

  1. E-commerce Catalog Categorization: Online retail platforms can use the 'al items' model to automatically classify and tag images of products within the decor category such as stockings, ribbons, tree skirts, etc. This will aid in enhancing product searching and filtering, improving overall user experience.

  2. Interior Design Planning: The model could be used in apps or software that help its users visualize and plan their interior design. By identifying different decor items in real or virtual spaces, it can provide suggestions for improvement or create a shopping list.

  3. Automated Retail Inventory Management: Retail stores can utilize this model to scan their inventory, keeping track of decor items. This would automate the process of inventory management and decrease human errors.

  4. Augmented Reality Shopping Apps: AR shopping apps can use this model to recognize decor items at the user's home and suggest similar or matching products from their inventory. It could help to personalize the shopping experience.

  5. Social Media Advertising: Businesses could use this model to monitor user-uploaded images on social media, identify their product's usage or preference and accordingly run targeted advertising campaigns.

Supervision

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Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            al-items_dataset,
                            title = { al items Dataset },
                            type = { Open Source Dataset },
                            author = { Orbit Exports },
                            howpublished = { \url{ https://universe.roboflow.com/orbit-exports/al-items } },
                            url = { https://universe.roboflow.com/orbit-exports/al-items },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-09-24 },
                            }
                        
                    

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