Linux or MacOS

Retrieving JSON predictions for a local file called YOUR_IMAGE.jpg:

        
bash
        

            
        
     
base64 YOUR_IMAGE.jpg | curl -d @- \
"https://detect.roboflow.com/lettuce-deficiency-detection-5qags/1?api_key=API_KEY"

Inferring on an image hosted elsewhere on the web via its URL (don't forget to URL encode it:

        
bash
        

            
        
     
curl -X POST "https://detect.roboflow.com/lettuce-deficiency-detection-5qags/1?\
api_key=API_KEY&\
image=https://source.roboflow.com/3g9PV6AzyrQYKC8JwKNg062zxUR2/3aTzUahcwZ72XBvOFmYm/original.jpg"

Windows

You will need to install curl for Windows and GNU's base64 tool for Windows. The easiest way to do this is to use the git for Windows installer which also includes the curl and base64 command line tools when you select "Use Git and optional Unix tools from the Command Prompt" during installation.
Then you can use the same commands as above.

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://detect.roboflow.com/lettuce-deficiency-detection-5qags/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://detect.roboflow.com/lettuce-deficiency-detection-5qags/1",
    params: {
        api_key: "API_KEY",
        image: "IMAGE_URL"
    }
})
.then(function(response) {
    console.log(response.data);
})
.catch(function(error) {
    console.log(error.message);
});

Front-End Web

Inferring on a Local Image in Browser

We have realtime on-device inference available via inferencejs; see the documentation here..

This will load your model to run realtime inference directly in your users' web-browser using WebGL instead of passing images to the server-side.

Inferring on a Local Image via API

Note: you shouldn't expose your Roboflow API key in the front-end to users outside of your organization.

This snippet should either use your users' API key (for example, if you're building model assisted labeling into your own labeling tool) or be put behind authentication so it's only usable by users who already have access to your Roboflow workspace.

        
javascript
        

            
        
     
import axios from 'axios';

const loadImageBase64 = (file) => {
    return new Promise((resolve, reject) => {
        const reader = new FileReader();
        reader.readAsDataURL(file);
        reader.onload = () => resolve(reader.result);
        reader.onerror = (error) => reject(error);
    });
}

const image = await loadImageBase64(fileData);

axios({
    method: "POST",
    url: "https://detect.roboflow.com/lettuce-deficiency-detection-5qags/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);
});

Uploading a Local Image Using base64

        
swift
        

            
        
     
import UIKit

// Load Image and Convert to Base64
let image = UIImage(named: "your-image-path") // path to image to upload ex: image.jpg
let imageData = image?.jpegData(compressionQuality: 1)
let fileContent = imageData?.base64EncodedString()
let postData = fileContent!.data(using: .utf8)

// Initialize Inference Server Request with API KEY, Model, and Model Version
var request = URLRequest(url: URL(string: "https://detect.roboflow.com/lettuce-deficiency-detection-5qags/1?api_key=API_KEY&name=YOUR_IMAGE.jpg")!,timeoutInterval: Double.infinity)
request.addValue("application/x-www-form-urlencoded", forHTTPHeaderField: "Content-Type")
request.httpMethod = "POST"
request.httpBody = postData

// Execute Post Request
URLSession.shared.dataTask(with: request, completionHandler: { data, response, error in

    // Parse Response to String
    guard let data = data else {
        print(String(describing: error))
        return
    }

    // Convert Response String to Dictionary
    do {
        let dict = try JSONSerialization.jsonObject(with: data, options: []) as? [String: Any]
    } catch {
        print(error.localizedDescription)
    }

    // Print String Response
    print(String(data: data, encoding: .utf8)!)
}).resume()

Uploading a Local Image

        
csharp
        

            
        
     
using System;
using System.IO;
using System.Net;
using System.Text;

namespace UploadLocal
{
    class UploadLocal
    {

        static void Main(string[] args)
        {
            byte[] imageArray = System.IO.File.ReadAllBytes(@"YOUR_IMAGE.jpg");
            string encoded = Convert.ToBase64String(imageArray);
            byte[] data = Encoding.ASCII.GetBytes(encoded);
            string api_key = "API_KEY"; // Your API Key
            string DATASET_NAME = "lettuce-deficiency-detection-5qags"; // Set Dataset Name (Found in Dataset URL)

            // Construct the URL
            string uploadURL =
                    "https://api.roboflow.com/dataset/" +
                            DATASET_NAME + "/upload" +
                            "?api_key=" + api_key +
                            "&name=YOUR_IMAGE.jpg" +
                            "&split=train";

            // Service Request Config
            ServicePointManager.Expect100Continue = true;
            ServicePointManager.SecurityProtocol = SecurityProtocolType.Tls12;

            // Configure Request
            WebRequest request = WebRequest.Create(uploadURL);
            request.Method = "POST";
            request.ContentType = "application/x-www-form-urlencoded";
            request.ContentLength = data.Length;

            // Write Data
            using (Stream stream = request.GetRequestStream())
            {
                stream.Write(data, 0, data.Length);
            }

            // Get Response
            string responseContent = null;
            using (WebResponse response = request.GetResponse())
            {
                using (Stream stream = response.GetResponseStream())
                {
                    using (StreamReader sr99 = new StreamReader(stream))
                    {
                        responseContent = sr99.ReadToEnd();
                    }
                }
            }

            Console.WriteLine(responseContent);

        }
    }
}

Inferring a Local Image

        
csharp
        

            
        
     
using System;
using System.IO;
using System.Net;
using System.Text;

namespace InferenceLocal
{
    class InferenceLocal
    {

        static void Main(string[] args)
        {
            byte[] imageArray = System.IO.File.ReadAllBytes(@"YOUR_IMAGE.jpg");
            string encoded = Convert.ToBase64String(imageArray);
            byte[] data = Encoding.ASCII.GetBytes(encoded);
            string api_key = "API_KEY"; // Your API Key
            string model_endpoint = "lettuce-deficiency-detection-5qags/1"; // Set model endpoint

            // Construct the URL
            string uploadURL =
                    "https://detect.roboflow.com/" + model_endpoint + "?api_key=" + API_KEY
                + "&name=YOUR_IMAGE.jpg";

            // Service Request Config
            ServicePointManager.Expect100Continue = true;
            ServicePointManager.SecurityProtocol = SecurityProtocolType.Tls12;

            // Configure Request
            WebRequest request = WebRequest.Create(uploadURL);
            request.Method = "POST";
            request.ContentType = "application/x-www-form-urlencoded";
            request.ContentLength = data.Length;

            // Write Data
            using (Stream stream = request.GetRequestStream())
            {
                stream.Write(data, 0, data.Length);
            }

            // Get Response
            string responseContent = null;
            using (WebResponse response = request.GetResponse())
            {
                using (Stream stream = response.GetResponseStream())
                {
                    using (StreamReader sr99 = new StreamReader(stream))
                    {
                        responseContent = sr99.ReadToEnd();
                    }
                }
            }

            Console.WriteLine(responseContent);

        }
    }
}

Uploading an Image Hosted Elsewhere via URL

        
csharp
        

            
        
     
using System;
using System.IO;
using System.Net;
using System.Web;

namespace InferenceHosted
{
    class InferenceHosted
    {
        static void Main(string[] args)
        {
            string api_key = ""; // Your API Key
            string imageURL = "https://i.ibb.co/jzr27x0/YOUR-IMAGE.jpg";
            string model_endpoint = "dataset/v"; // Set model endpoint

            // Construct the URL
            string uploadURL =
                    "https://detect.roboflow.com/" + model_endpoint
                    + "?api_key=" + api_key
                    + "&image=" + HttpUtility.UrlEncode(imageURL);

            // Service Point Config
            ServicePointManager.Expect100Continue = true;
            ServicePointManager.SecurityProtocol = SecurityProtocolType.Tls12;

            // Configure Http Request
            WebRequest request = WebRequest.Create(uploadURL);
            request.Method = "POST";
            request.ContentType = "application/x-www-form-urlencoded";
            request.ContentLength = 0;

            // Get Response
            string responseContent = null;
            using (WebResponse response = request.GetResponse())
            {
                using (Stream stream = response.GetResponseStream())
                {
                    using (StreamReader sr99 = new StreamReader(stream))
                    {
                        responseContent = sr99.ReadToEnd();
                    }
                }
            }

            Console.WriteLine(responseContent);

        }
    }
}