yolo Object Detection Dataset and Pre-Trained Model by yolo train

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Here are a few use cases for this project:

eCommerce Inventory Management: The model could be effectively used for keeping track of inventory in online beauty and cosmetics stores. It can automatically identify various makeup tools and supplies, count their numbers, or even report when stocks are running low.
Automated Retail Checkout: This application would allow for a fully automated, cashier-less retail experience. Customers could just pick their desired beauty products and the computer vision system would identify the items instantaneously, facilitating seamless checkout.
Augmented Reality Makeup Applications: In virtual trial apps, where customers can try different makeup products, this model could identify the real-world counterpart of each digital tool or product, creating a more intuitive and interactive user experience.
Automated Product Sorting in Warehouses: Computer vision models like 'yolo' can be used in warehouses dealing with various beauty products for automated sorting, helping reduce manual labor and errors.
Visual Aid for Visually Impaired: The model could assist visually impaired individuals in identifying various personal care items they use daily, improving their independence when using these products.

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{
                            yolo-n3006_dataset,
                            title = { yolo Dataset },
                            type = { Open Source Dataset },
                            author = { yolo train },
                            howpublished = { \url{ https://universe.roboflow.com/yolo-train-gknrr/yolo-n3006 } },
                            url = { https://universe.roboflow.com/yolo-train-gknrr/yolo-n3006 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-06-14 },
                            }