Nauplios-partes Object Detection Dataset and Pre-Trained Model by nauplio

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Explore Dataset

Here are a few use cases for this project:

Aquaculture Industry: Monitoring and Classification - The "Nauplios-partes" model can be used in shrimp breeding or other aquaculture centers. The model can help identify and classify different Nauplios stages, allowing for better management of the hatchery processes.
Environmental Impact Studies: This model can be used in environmental studies to identify and monitor the presence and growth of Nauplios in water bodies. This can help in studying the impacts of various environmental factors on their habitats.
Education and Research: Universities and research institutions can use the model for teaching purposes. It can be used in biology or bioinformatics courses to study about Nauplios and their lifecycle stages.
Fishery and Wildlife Departments: These departments could use the model to monitor the presence and life-cycle stage of Nauplios in natural bodies of water. This can offer insights on the ecological balance.
Marine Biodiversity Studies: The model can be used by marine bio-technologists for studying and cataloging marine biodiversity, contributing to the overall understanding of aquatic life forms.

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.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, 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{
                            nauplios-partes_dataset,
                            title = { Nauplios-partes Dataset },
                            type = { Open Source Dataset },
                            author = { nauplio },
                            howpublished = { \url{ https://universe.roboflow.com/nauplio/nauplios-partes } },
                            url = { https://universe.roboflow.com/nauplio/nauplios-partes },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-06-25 },
                            }