detect fardos Object Detection Dataset and Pre-Trained Model by Practicante Nuevas Tecnologias

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Explore Dataset

Here are a few use cases for this project:

Recycling Industry: The "detect fardos" model can help identify and sort different types of plastic-wrapped food products for recycling purposes, increasing efficiency as well as reducing human intervention.
Supermarket Inventory Automation: This model can be employed in supermarkets or grocery stores to automate the inventory process by identifying different types of fardo food products on shelves, aiding in efficient restocking and reducing labor costs.
Waste Management: This model can be utilized in waste management systems to auto-sort the garbage based on types of fardo (food wrapped in plastic), optimizing the waste disposal process.
Food Processing Industry: In the food processing industry, this model can help in identifying and segregating different food products, enhancing the speed and reliability of the production line.
Supply Chain Management: This model can be implemented in supply chain management for automatic identification and categorization of fardo during shipping and delivery processes, improving efficiency and tracking.

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{
                            detect-fardos_dataset,
                            title = { detect fardos Dataset },
                            type = { Open Source Dataset },
                            author = { Practicante Nuevas Tecnologias },
                            howpublished = { \url{ https://universe.roboflow.com/practicante-nuevas-tecnologias/detect-fardos } },
                            url = { https://universe.roboflow.com/practicante-nuevas-tecnologias/detect-fardos },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-06-23 },
                            }