labeling Object Detection Dataset and Pre-Trained Model by project-zyw4p

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Explore Dataset

Here are a few use cases for this project:

Gardening App Development: The model can be used in creating an app for gardening enthusiasts which identifies a plant from a photo and provides information about it, including its species, care needs, and potential plant pairings.
Agricultural Management: The model can assist farmers in accurately identifying crops and plants on their farm, tracking the growth of specific varieties or identifying the intrusion of undesired plants.
Environmental Research: Scientists can use the "labeling" model during botanical fieldwork to quickly identify and categorize species of plants for biodiversity surveys or environmental impact assessments.
Horticulture Education: Academic institutions can use this model for teaching courses on botany or horticulture by providing hands-on, interactive learning experiences for students.
Smart Retail Solutions: Nurseries and garden centers can implement the model into their shopping app, enabling customers to identify and learn more about the plants available for purchase. This can also provide personalized recommendations based on the plant types that a user frequently interacts with.

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{
                            labeling-enno2_dataset,
                            title = { labeling Dataset },
                            type = { Open Source Dataset },
                            author = { project-zyw4p },
                            howpublished = { \url{ https://universe.roboflow.com/project-zyw4p/labeling-enno2 } },
                            url = { https://universe.roboflow.com/project-zyw4p/labeling-enno2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-04-30 },
                            }