Fruit Sugar Detection Computer Vision Project

Technological University of the Philippines

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Description

The Fruit Sugar Detection project aims to develop an advanced image processing system utilizing convolutional neural networks and transfer learning techniques, integrated with Roboflow's platform, to accurately classify fruits based on their sugar content levels, promoting health awareness and informed dietary choices.

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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{
                            fruit-sugar-detection-ye7hb_dataset,
                            title = { Fruit Sugar Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Technological University of the Philippines },
                            howpublished = { \url{ https://universe.roboflow.com/technological-university-of-the-philippines-mhta8/fruit-sugar-detection-ye7hb } },
                            url = { https://universe.roboflow.com/technological-university-of-the-philippines-mhta8/fruit-sugar-detection-ye7hb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-12-22 },
                            }