Termite Detection Computer Vision Model

byProjectsTask:
Object Detection
License:CC BY 4.010 views

How to use the Termite Detection Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="termite-detection/1")
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Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "Red, Blue"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

About Termite Detection Model

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 }, }

Cite This Project

LicenseCC BY 4.0

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 2026-07-29 },
}

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