vegetation Semantic Segmentation Dataset and Pre-Trained Model by segments

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Explore Dataset

Here are a few use cases for this project:

Botanical Research: The "vegetation" model can be used by botanists or ecologists to identify and classify different types of grass in a field or garden. It can help to accelerate the process of plant identification and data collection for scientific research.
Lawn Care Businesses: Professional landscapers could use this model to identify different types of grass on their clients' properties to ascertain the optimal care and treatment.
Precision Agriculture: The model can be used by farmers or agricultural specialists to identify the type of grass in their field, understand its growth patterns and thus enable them to apply the right fertilizers and growth supplements.
Golf Course Maintenance: This model can be used for managing golf course greens, by assisting in identification of grass types, which can lead to informed decisions about maintenance, mowing schedules, and disease control.
Environmental Conservation: Conservationists can use this computer vision model to track and monitor different types of grass species in a given location. This could be particularly useful in understanding and combating the spread of invasive species.

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{
                            vegetation-gvb0s_dataset,
                            title = { vegetation Dataset },
                            type = { Open Source Dataset },
                            author = { segments },
                            howpublished = { \url{ https://universe.roboflow.com/segments/vegetation-gvb0s } },
                            url = { https://universe.roboflow.com/segments/vegetation-gvb0s },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-18 },
                            }