Termite Tracking Computer Vision Project

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 }, }