Roboflow Annotated Real Images Computer Vision Project

Valorem Reply

Updated 2 years ago

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Classes (2)
surface_laptop_4
surface_laptop_studio
Description

Here are a few use cases for this project:

  1. Inventory Management: Retailers and storerooms can use the "Roboflow Annotated Real Images" model to automatically track, identify, and manage stocks of Surface Laptop 4 and Surface Laptop Studio to maintain optimal levels and improve efficiency.

  2. Enhanced E-commerce Experience: Online shopping platforms can integrate the model to allow easy identification of desired laptop models in customer-generated images, simplifying their search process and returning accurate search results for product recommendations.

  3. Device Recycling and Disposal: This computer vision model can be deployed in electronics recycling facilities to quickly sort and classify Surface Laptop 4 and Surface Laptop Studio devices to ensure they are disposed of or recycled correctly, complying with proper guidelines.

  4. Theft Detection and Recovery: Surveillance systems, both in-store and public spaces, can utilize the "Roboflow Annotated Real Images" model to detect and recognize stolen or misplaced Surface Laptop 4 and Surface Laptop Studio devices, potentially aiding law enforcement in recovery efforts and mitigating losses.

  5. Augmented Reality Applications: Imaging and AR applications can implement the model to recognize Surface Laptop 4 and Surface Laptop Studio devices in real-world scenarios, offering users interactive content, product information, or troubleshooting assistance based on the identified laptop models.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            roboflow-annotated-real-images_dataset,
                            title = { Roboflow Annotated Real Images Dataset },
                            type = { Open Source Dataset },
                            author = { Valorem Reply },
                            howpublished = { \url{ https://universe.roboflow.com/valorem-reply/roboflow-annotated-real-images } },
                            url = { https://universe.roboflow.com/valorem-reply/roboflow-annotated-real-images },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-09-26 },
                            }