project Object Detection Dataset and Pre-Trained Model by project

Images

764 images

Explore Dataset

Here are a few use cases for this project:

Plant Species Identification Mobile App: Utilize the "project" model in creating an app for hiking enthusiasts and botanists that can identify species of plants in real-time simply by pointing their smartphone camera at them.
Agricultural Technology Improvement: Incorporate the model into agricultural technologies to help farmers better identify crops, weed species, or plant diseases, leading to optimized farm management, yield, and productivity.
Environmental Research & Conservation: Scientists and researchers could use the model as a tool for identifying biodiversity in a given area, tracking changes over time, or assessing the success of conservation projects.
Assistive Technology for Visually Impaired: Build an application that uses "project" to help visually impaired individuals navigate the outdoors more safely and independently, by identifying plants they may come into contact with during their daily activities or travels.
Landscaping and Gardening Applications: Use the model in a gardening app to provide homeowners, landscape designers, and gardeners with detailed information about plants in their gardens or plant shops, assisting them in proper plant care and maintenance.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            project-flpfr_dataset,
                            title = { project Dataset },
                            type = { Open Source Dataset },
                            author = { project },
                            howpublished = { \url{ https://universe.roboflow.com/project-bovbl/project-flpfr } },
                            url = { https://universe.roboflow.com/project-bovbl/project-flpfr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-04 },
                            }