⛏️imageSimilarityTrain

Description

Add new image data in our search engine.

Parameters

Parameter	Type	Description
imageUrl	string	valid image url
metadata	object	metadata about the image, this metadata will be returned in the test results

Response

Parameter	Type	Description
message	string	message about the response
status	int	0 for similar image found and training not completed 1 for similar image not found and successfully added the image to our search engine -1 for any error occurs during the execution of the request
img	object	this object will contain four properties keyPoint1, keyPoint2, and matchedImg will be None score will be the similarity score of the search

Request

Here is an example of how to make a imageSimilarityTrain request using the QUBIT SDK:

// import the ai-core-sdk
import {AIServices} from '@nest25/ai-core-sdk';

// create a new instance of the sdk
const aiServices = new AIServices();

async function main() {
  // get the result of the test
  const result = await aiServices.imageSimilarityTrain('https://ik.imagekit.io/BIOSPHERE/1678716455079_PTj9bkO9d.jpeg', {'key': 'value'});
  console.log(result);
}

main();

Response

{
    "img": {
        "keyPoint1": "None",
        "keyPoint2": "None",
        "matchedImg": "None",
        "score": 2.0
    },
    "message": "Similar image found.",
    "status": 0
}