Name: Roboflow Annotated Real Images Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

84 images

Explore Dataset

Here are a few use cases for this project:

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.
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.
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.
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.
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.

Cite this Project

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 2023-12-08 },
}