Tipos de ofertas en folletos de supermercados

Object Detection

Tipos de ofertas en folletos de supermercados Computer Vision Project

tekworkspace

Updated a year ago

109

views

7

downloads
Classes (4)
2x1
50
mejor-precio
puntos

Metrics

Try This Model
Drop an image or
Description

Project overview

Analysis of offers in supermarket brochures. It is a collection of images corresponding to offers in advertising brochures. The images in the dataset come from Eroski supermarket brochures in Spain and have been obtained using the detection model "Folleto Supermercado Computer Vision Project".

The dataset contains the following classes:

  • Best Price
  • 50% discount
  • 2x1
  • Points

Each object identified in the dataset corresponds to the region of the offer that contains the element corresponding to the previous classes.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            tipos-de-ofertas-en-folletos-de-supermercados_dataset,
                            title = { Tipos de ofertas en folletos de supermercados Dataset },
                            type = { Open Source Dataset },
                            author = { tekworkspace },
                            howpublished = { \url{ https://universe.roboflow.com/tekworkspace/tipos-de-ofertas-en-folletos-de-supermercados } },
                            url = { https://universe.roboflow.com/tekworkspace/tipos-de-ofertas-en-folletos-de-supermercados },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

Similar Projects

See More