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Corrosion Detection in Subsea Pipelines

Instance Segmentation

How to Use the Corrosion Detection in Subsea Pipelines Detection API

Use this pre-trained Corrosion Detection in Subsea Pipelines computer vision model to retrieve predictions with our hosted API or deploy to the edge. Learn More About Roboflow Inference

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corrosion-detection-in-subsea-pipelines/1
v1
corrosion-detection-in-subsea-pipelines/1
Trained On: 2023-05-03-5-43pm
Trained On: corrosion-detection-in-subsea-pipelines 128 Images
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Model Type: Roboflow 2.1 Instance Segmentation
mAP
19.5%
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Roboflow Inference

Inference is Roboflow's open source deployment package for developer-friendly vision inference.

How to Deploy the Corrosion Detection in Subsea Pipelines Detection API

Using Roboflow, you can deploy your object detection model to a range of environments, including:

  • Raspberry Pi
  • NVIDIA Jetson
  • A Docker container
  • A web page
  • A Python script using the Roboflow SDK.

Below, we have instructions on how to use our deployment options.

Code Snippets

Hosted API
Utilities
Python
JavaScript

Infer on Local and Hosted Images

To install dependencies, pip install inference-sdk.

Then, add the following code snippet to a Python script:


        
python

        

            
        

     
from inference_sdk import InferenceHTTPClient

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

result = CLIENT.infer(your_image.jpg, model_id="corrosion-detection-in-subsea-pipelines/1")

See the inference-sdk docs

Node.js

We're using axios to perform the POST request in this example so first run npm install axios to install the dependency.

Inferring on a Local Image


        
javascript

        

            
        

     
const axios = require("axios");
const fs = require("fs");

const image = fs.readFileSync("YOUR_IMAGE.jpg", {
    encoding: "base64"
});

axios({
    method: "POST",
    url: "https://outline.roboflow.com/corrosion-detection-in-subsea-pipelines/1",
    params: {
        api_key: "API_KEY"
    },
    data: image,
    headers: {
        "Content-Type": "application/x-www-form-urlencoded"
    }
})
    .then(function (response) {
        console.log(response.data);
    })
    .catch(function (error) {
        console.log(error.message);
    });

Inferring on an Image Hosted Elsewhere via URL


        
javascript

        

            
        

     
const axios = require("axios");

axios({
    method: "POST",
    url: "https://outline.roboflow.com/corrosion-detection-in-subsea-pipelines/1",
    params: {
        api_key: "API_KEY",
        image: "IMAGE_URL"
    }
})
    .then(function (response) {
        console.log(response.data);
    })
    .catch(function (error) {
        console.log(error.message);
    });
More Deployment Resources
Roboflow Inference Documentation

Look through our Inference documentation for more information and resources on how to utilize this model.
Example Web App

Use this model with a full fledged web application that has all sample code included.
Deploy to NVIDIA Jetson

Perform inference at the edge with a Jetson via our Docker container.
Deploy Mobile iOS

Utilize your model on your mobile device.

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