Termite Detection Computer Vision Project
Updated 3 months ago
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Description
Overview
An object detection and tracking model to identify Pacific dampwood termites, Zootermopsis angusticollis, from videos recorded in the laboratory. This enables the tracking of individual behaviour, with additional functionality to differentiate termites based on the presence of an orange or blue paint mark.
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.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new 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{ termite-detection_dataset, title = { Termite Detection Dataset }, type = { Open Source Dataset }, author = { Thomas A. O'Shea-Wheller }, howpublished = { \url{ https://universe.roboflow.com/projects-k8s3q/termite-detection } }, url = { https://universe.roboflow.com/projects-k8s3q/termite-detection }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2025 }, month = { jan }, note = { visited on 2025-01-20 }, }
Use This Trained Model
Try it in your browser, or deploy 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{
termite-detection_dataset,
title = { Termite Detection Dataset },
type = { Open Source Dataset },
author = { Projects },
howpublished = { \url{ https://universe.roboflow.com/projects-k8s3q/termite-detection } },
url = { https://universe.roboflow.com/projects-k8s3q/termite-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { feb },
note = { visited on 2025-05-16 },
}