Plant Identification Object Detection Dataset and Pre-Trained Model by Akshad Malegaonkar

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Explore Dataset

Here are a few use cases for this project:

Agriculture Management: Farmers and agriculturalists can use the Plant Identification model to monitor crop growth, identify possible pest infestation, and optimize crop yield by identifying the appropriate mix of plant species in their fields.
Biodiversity Conservation: Ecologists and conservationists can utilize the Plant Identification model to study and catalog plant species within an ecosystem, monitor endangered or invasive plants, and aid in restoration efforts for affected areas.
Personal Gardening and Landscaping: Homeowners, gardeners, and landscape designers can use the Plant Identification model to identify the plants in their gardens, recommend suitable plants for specific locations, and diagnose potential plant diseases or pests.
Education and Botany Research: Students, educators, and researchers can employ the Plant Identification model as a learning tool to better understand and categorize plant species, as well as study the genetic variations and adaptations among plants within different environments or ecosystems.
Outdoor Recreation and Nature Enthusiasts: Hikers, bird watchers, and nature lovers can use the Plant Identification model to enhance their outdoor experiences by identifying the plants they encounter during their activities, increasing their knowledge of local flora and helping them to avoid poisonous or allergenic plants.

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{
                            plant-identification-mxsho_dataset,
                            title = { Plant Identification Dataset },
                            type = { Open Source Dataset },
                            author = { Akshad Malegaonkar },
                            howpublished = { \url{ https://universe.roboflow.com/akshad-malegaonkar/plant-identification-mxsho } },
                            url = { https://universe.roboflow.com/akshad-malegaonkar/plant-identification-mxsho },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-22 },
                            }