Team 10 Object Detection Dataset and Pre-Trained Model by Columbia University

Images

513 images

Explore Dataset

Here are a few use cases for this project:

Botanical Studies: This model could be used in biological studies and research where identification of various types of flowers is crucial. It can save time in the classification process and improve the accuracy of plant species identification.
Greenhouse Management: The "Team 10" computer vision model can revolutionize how greenhouses operate, helping workers there identify various types of flowers to facilitate proper care and maintenance procedures or aiding in the detection of wrongly placed or unwanted species.
Landscape Designing: Landscape architects could use this model to help identify and categorize different flowers during site evaluations, making the design process more efficient and potentially sparking new ideas for combinations of plant species.
Environment Conservation: Conservationists could use this model to quickly identify different flower species in a given area. This could help monitor biodiversity, track the effects of climate change, or assist in efforts to reintroduce endangered species.
Retail Industry: For shops selling flowers or plants, this model could be implemented into an app. Customers could use their phones to take pictures of flowers they're interested in and the app would identify them, giving more information about their care or suggesting similar 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{
                            team-10_dataset,
                            title = { Team 10 Dataset },
                            type = { Open Source Dataset },
                            author = { Columbia University },
                            howpublished = { \url{ https://universe.roboflow.com/columbia-university-p4oe2/team-10 } },
                            url = { https://universe.roboflow.com/columbia-university-p4oe2/team-10 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-06-26 },
                            }