Name: fruits Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

2195 images

Explore Dataset

Here are a few use cases for this project:

Grocery Quality Control: This model can be used to identify the freshness status of fruits in supermarkets, groceries, and supply chains. By harnessing this, companies can improve the quality of products reaching their consumers and minimize incidental losses.
Smart Home Assistance: Integrated into smart home devices, it can help individuals identify the freshness of their stocked fruits, assisting in better management of home groceries and reducing food waste.
Fruit Production Monitoring: Agribusinesses could use this model to monitor the quality of their fruits during production and post-harvest handling. It can serve as an automated quality control tool to classify fresh fruits from the rotten ones.
Food Processing Industry: Companies that manufacture fruit-based products, such as juices (like Tropicana and Goodday), can utilize this model to verify the quality and freshness of the fruits used in their production process.
Unrelated Objects Detection: Though misplaced, the laundry detergent image signifies the model's scope extends to unrelated object detection as well. This makes it useful in scenarios where identifying out-of-place objects is critical, such as machine maintenance, security systems, etc.

Cite This Project

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

@misc{
                            fruits-hnsor_dataset,
                            title = { fruits Dataset },
                            type = { Open Source Dataset },
                            author = { nivin A },
                            howpublished = { \url{ https://universe.roboflow.com/nivin-a/fruits-hnsor } },
                            url = { https://universe.roboflow.com/nivin-a/fruits-hnsor },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-04-27 },
                            }