M_C Object Detection Dataset and Pre-Trained Model by HaBB

Images

2464 images

Explore Dataset

Here are a few use cases for this project:

Marine Biology Study: This model can help marine biologists and researchers to automatically identify and classify various Anthozoa classes, enabling easier cataloging and analysis of marine life.
Environmental Impact Studies: The model could be used to assess the condition of coral reefs and other marine habitats, helping to identify species that are at risk or invasive, and evaluating the health of the marine ecosystem.
Aquarium Management: Aquariums can utilize this model to identify and classify their marine life for better care, display, and educational purposes.
Commercial Fishing Impact Analysis: The model can be deployed to study the impact of commercial fishing on various Anthozoa classes helping to propel sustainability initiatives.
Marine Wildlife Photography: Wildlife photographers could use this model to automatically tag and classify images they capture, saving them time on manual classification and ensuring correct identification.

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{
                            m_c_dataset,
                            title = { M_C Dataset },
                            type = { Open Source Dataset },
                            author = { HaBB },
                            howpublished = { \url{ https://universe.roboflow.com/habb/m_c } },
                            url = { https://universe.roboflow.com/habb/m_c },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-05 },
                            }