calanus Object Detection Dataset and Pre-Trained Model by Calanus project

Images

2879 images

Explore Dataset

Here are a few use cases for this project:

Marine Biology Research: Researchers can use the "calanus" computer vision model to identify and analyze different calanus classes in plankton samples, aiding in the study of marine ecosystems, food chains, and population dynamics.
Aquaculture Monitoring: The model can be employed in aquaculture settings, where the abundance and distribution of different calanus classes can impact the health and growth rate of farmed fish. It can help farmers make informed decisions on feeding strategies and environmental conditions.
Environmental Impact Assessment: By identifying the presence and distribution of calanus classes, environmental agencies can assess the health of marine ecosystems and track changes resulting from pollution, climate change, or human activities, leading to more effective conservation efforts.
Maritime Industries and Fisheries: The "calanus" model can be applied to monitor and assess the presence of specific calanus classes in fishing grounds, helping to guide sustainable fishing practices, resource management, and the prevention of overfishing in vulnerable areas.
Educational Tools: Images analyzed by the "calanus" computer vision model can serve as valuable teaching resources for students studying marine biology, ecology, or oceanography, providing a practical way to learn and understand the role of calanus in marine 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{
                            calanus_dataset,
                            title = { calanus Dataset },
                            type = { Open Source Dataset },
                            author = { Calanus project },
                            howpublished = { \url{ https://universe.roboflow.com/calanus-project/calanus } },
                            url = { https://universe.roboflow.com/calanus-project/calanus },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-06-24 },
                            }