CartLens

shelf_data

Object Detection

shelf_data Computer Vision Project

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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{
                            shelf_data_dataset,
                            title = { shelf_data Dataset },
                            type = { Open Source Dataset },
                            author = { CartLens },
                            howpublished = { \url{ https://universe.roboflow.com/cartlens/shelf_data } },
                            url = { https://universe.roboflow.com/cartlens/shelf_data },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-05-10 },
                            }
                        

Connect Your Model With Program Logic

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

Source

CartLens

Last Updated

6 months ago

Project Type

Object Detection

Subject

products

Views: 85

Views in previous 30 days: 0

Downloads: 12

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

50 50 Biscuit Biscafe Bounce Bourbon Bourbon Dark fantasy Bourn Vita Biscuit Chocobakes Coffee Joy Creme Dark Fantasy Digestive Elite Ginger Good Day Happy Happy Hide & Seek Jim Jam KrackJack Malkist Marie Gold Marie Light Milk Bikis Milk Short Cake Mom Magic Monaco Nice Nutri Choice Nutri Choice(Crackers) Nutri Choice(Herbs) Nutri Choice(Sugar Free) Oreo Parle G Potazo Sunfeast green Super Millets Supermilk Tninz Treat Unibic Unibic-box all rounder