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 seg Detection API

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

2023-02-24 1:50pm

Feb 24, 2023

2023-02-24 1:50pm

Version 5 Generated Feb 24, 2023

Roboflow 2.1 Instance Segmentation

seg-krush/5

78.5%

mAP

SAMPLES FROM TEST SET

Drop Image

Paste YouTube / Image URL

Upload

Try this model on images, video, or use your webcam

fps

objects detected

How to Deploy the seg 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.

Hosted API

Python

Javascript

## Infer on Local and Hosted Images To install dependencies, `pip install roboflow` ``` 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); }); ```