Sljivar 2 Object Detection Dataset and Pre-Trained Model by Pupin 2

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Explore Dataset

Here are a few use cases for this project:

Agricultural Analysis: "Sljivar 2" can be used in farms and orchards to detect the health and status of plum crops, differentiating between ripe, unripe, and those affected by diseases like Bacterial Spot Disease (BGD).
Fruit Sorting in Supply Chain: It can help streamline the supply chain in fruit markets or factories by efficiently sorting classes of plums based on their maturity and health status, ensuring better quality control.
Urban Gardening and Orchard Management: Home gardeners or urban farming communities can use it to monitor their plum trees, understand when plums are ripe for harvest, and identify any disease symptoms early.
Educational Resource: The model can be utilized in educational domains to help students learn about different stages of plum growth and common plum diseases, thereby enhancing their knowledge in botany or agriculture.
Grocery Retail: Businesses in the retail sector can use "Sljivar 2" to automatically classify the quality of plums, ensuring that customers always receive the best quality produce.

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{
                            sljivar-2_dataset,
                            title = { Sljivar 2 Dataset },
                            type = { Open Source Dataset },
                            author = { Pupin 2 },
                            howpublished = { \url{ https://universe.roboflow.com/pupin-2/sljivar-2 } },
                            url = { https://universe.roboflow.com/pupin-2/sljivar-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-04-23 },
                            }