Nematodes Segmentation Object Detection Dataset and Pre-Trained Model by Universidad Peruana de Ciencias Aplicadas

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Explore Dataset

Here are a few use cases for this project:

Agricultural Research: The model can be used to study the effect of nematodes on various crops, helping researchers identify and quantify their presence in soil samples or plant tissues.
Bio-pesticide Development: Firms developing biological pest control measures can use this model to understand the different classes of nematodes, their behavior, and their reaction to certain substances or conditions to inform their product development process.
Environmental Monitoring: It can be deployed by environmental scientists to study the ecology of nematodes, including their distribution and diversity in different parts of the world. It can also be used to assess the health of soils or bodies of water based on nematode populations.
Veterinary Diagnostics: In a veterinary context, the model could be applied to test samples from animals suspected of having a nematode infection, aiding vets in diagnosing and treating parasitic diseases.
Pharmaceutical Research: For companies working on anti-parasitic drugs, this model could help measure the efficiency of their products by tracking changes in nematode populations before and after treatment.

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{
                            nematodes-segmentation_dataset,
                            title = { Nematodes Segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { Universidad Peruana de Ciencias Aplicadas },
                            howpublished = { \url{ https://universe.roboflow.com/universidad-peruana-de-ciencias-aplicadas-gsptp/nematodes-segmentation } },
                            url = { https://universe.roboflow.com/universidad-peruana-de-ciencias-aplicadas-gsptp/nematodes-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-18 },
                            }