What are the deployment options available for this API?

Roboflow supports deployment in the following environments:

Can I fine-tune this model?

You can can use Roboflow to train your own version of this model using your own custom data, or data from this model.

How to Use the scaffolding distance Detection API

Use this pre-trained scaffolding distance computer vision model to retrieve predictions with our hosted API or deploy to the edge. Learn More About Roboflow Inference

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Trained On: scaffolding-distance 813 Images

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Model Type: Roboflow 2.1 Instance Segmentation

mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more

mAP

31.9%

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Samples from Test Set

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How to Deploy the scaffolding distance Detection API

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

Luxonis OAK
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 roboflow`. Then, add the following the following code snippet to a Python script: ``` from roboflow import Roboflow rf = Roboflow(api_key="API_KEY") project = rf.workspace().project("MODEL_ENDPOINT") model = project.version(VERSION).model # infer on a local image print(model.predict("your_image.jpg").json()) # infer on an image hosted elsewhere print(model.predict("URL_OF_YOUR_IMAGE").json()) # save an image annotated with your predictions model.predict("your_image.jpg").save("prediction.jpg") ```

## Node.js We're using [axios](https://github.com/axios/axios) to perform the POST request in this example so first run npm install axios to install the dependency. ### Inferring on a Local Image ``` 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/MODEL_ENDPOINT/VERSION", 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 ``` const axios = require("axios"); axios({ method: "POST", url: "https://outline.roboflow.com/MODEL_ENDPOINT/VERSION", params: { api_key: "API_KEY", image: "IMAGE_URL" } }) .then(function(response) { console.log(response.data); }) .catch(function(error) { console.log(error.message); }); ```

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