https://github.com/maxgfr/visual-recognition-server

IBM Cloud application using Visual Recognition
https://github.com/maxgfr/visual-recognition-server

api dropzone dropzonejs ibm ibm-api ibm-cloud image-classification image-recognition javascript json json-response nodejs visual-recognition watson watson-services

Last synced: 12 months ago
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IBM Cloud application using Visual Recognition

• Host: GitHub
• URL: https://github.com/maxgfr/visual-recognition-server
• Owner: maxgfr
• License: mit
• Created: 2018-04-23T17:17:29.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2024-02-29T20:20:48.000Z (over 2 years ago)
• Last Synced: 2025-04-09T15:26:45.737Z (about 1 year ago)
• Topics: api, dropzone, dropzonejs, ibm, ibm-api, ibm-cloud, image-classification, image-recognition, javascript, json, json-response, nodejs, visual-recognition, watson, watson-services
• Language: CSS
• Homepage:
• Size: 4.52 MB
• Stars: 3
• Watchers: 2
• Forks: 2
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# visual-recognition-server

Application which uses Visual Recogntion - IBM

It sends a JSON response.

## Configuration

Firstly, you have to configure your Visual Recognition API KEY in the .env

Then, you have to launch this command :

```

    npm install && bower install && gulp bower

    npm start

```

## Visual Recogntion API

![alt text](https://github.com/maxgfr/visual-recognition-server/blob/master/capture/capture1.png)

## JSON Response

![alt text](https://github.com/maxgfr/visual-recognition-server/blob/master/capture/capture2.png)

## API

![alt text](https://github.com/maxgfr/visual-recognition-server/blob/master/capture/capture3.png)