custom yolov7


Object Detection

Detection Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Smart Retail: "Detection" can be utilized in retail stores and supermarkets to monitor inventory in real-time, track product availability on shelves, and streamline the restocking process by identifying products that need to be replenished.

  2. Automated Checkout: The model can be implemented in self-service automated checkout systems to enable quick and accurate product recognition, simplifying the checkout process for customers and reducing wait times during busy shopping periods.

  3. Food Delivery Sorting: Online food delivery services can use the "Detection" model to sort orders and verify package contents before dispatch, ensuring that customers receive their desired products and reducing errors in the delivery process.

  4. Nutritional Information Retrieval: By identifying specific products, "Detection" can be linked to a nutritional database, allowing users to quickly access nutritional information about various food products by scanning them using their smartphones or other devices.

  5. Waste Management: The model can help optimize recycling facilities by identifying and sorting specific types of packaging materials or products, improving the recycling process efficiency and reducing contamination rates.

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:

                            title = { Detection Dataset },
                            type = { Open Source Dataset },
                            author = { custom yolov7 },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-02-21 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Detection project in your project.


custom yolov7

Last Updated

a year ago

Project Type

Object Detection




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