AIM final Object Detection Dataset and Pre-Trained Model by ssz

Images

568 images

Explore Dataset

Here are a few use cases for this project:

Retail Inventory Management: The "AIM final" model can be used by retailers to automate their inventory management system. The AI can detect the items present on the shelves and compare it with the expected inventory. Any deviations can then be easily identified, making stock replenishment more efficient.
Customer Shopping Experience: In a smart shopping system, the model can be used to guide customers to their desired products inside a store. Customers input their shopping list, and the system generates the most efficient route through the store, based on real-time inventory information processed by the model.
Checkout Automation: Combined with a mobile app, "AIM final" can be used for automatic checkout in stores. As customers add products to their cart, the app uses the model to recognize the items and keeps a running total, allowing for effortless, cashier-less checkout.
Automated Vending Machine: In a smart vending machine scenario, the model could be used to ensure that the right product is ejected based on the user's choice. By visually confirming which item has been ejected, it reduces errors and improves customer satisfaction.
Supply Chain Management: For supply chain optimization, the model can be deployed in warehouses to count and classify incoming and outgoing goods, reducing the time and human error involved in manual checks.

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{
                            aim-final_dataset,
                            title = { AIM final Dataset },
                            type = { Open Source Dataset },
                            author = { ssz },
                            howpublished = { \url{ https://universe.roboflow.com/ssz/aim-final } },
                            url = { https://universe.roboflow.com/ssz/aim-final },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-09 },
                            }