bottle retail vision Computer Vision Project

Project ES Team

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Description

This computer vision project aims to leverage advanced image processing techniques and machine learning algorithms to detect and classify products specifically within the waters category. By analyzing visual data, such as images or video frames, the system can identify various types of bottled or packaged water products accurately.

The primary objective of this project is to develop a robust and efficient product detection model that can automatically recognize and categorize different water products in real-time or offline scenarios.

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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            bottle-retail-vision_dataset,
                            title = { bottle retail vision Dataset },
                            type = { Open Source Dataset },
                            author = { Project ES Team },
                            howpublished = { \url{ https://universe.roboflow.com/project-es-team/bottle-retail-vision } },
                            url = { https://universe.roboflow.com/project-es-team/bottle-retail-vision },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }