Environmentally relevant foraminifera detection Object Detection Dataset and Pre-Trained Model by University of Gothenburg Environmental Science

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Explore Dataset

Here are a few use cases for this project:

Marine ecosystem monitoring: Use the model to monitor and examine Foraminifera populations in different marine environments to assess the health of ecosystems and track changes over time.
Climate change research: Analyze the distribution and abundance of these environmentally relevant foraminifera species in sediment samples to study past and present climate conditions and better understand climate change and its effects on marine life.
Palaeoceanographic studies: Utilize the model to identify foraminifera species in sediment core samples, enabling researchers to reconstruct past oceanic conditions and study changes in paleoceanographic settings.
Environmental impact assessments: Use the model to identify foraminifera species in various geographic locations, aiding in the assessment of environmental impacts due to pollution, infrastructure development, or other anthropogenic factors.
Biodiversity and conservation: Apply the model to detect and study specific foraminifera species in different marine habitats, supporting research on marine biodiversity and aiding in the development of conservation strategies for vulnerable ecosystems.

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{
                            environmentally-relevant-foraminifera-detection_dataset,
                            title = { Environmentally relevant foraminifera detection Dataset },
                            type = { Open Source Dataset },
                            author = { University of Gothenburg Environmental Science },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-gothenburg-environmental-science/environmentally-relevant-foraminifera-detection } },
                            url = { https://universe.roboflow.com/university-of-gothenburg-environmental-science/environmentally-relevant-foraminifera-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-05-10 },
                            }