Image label detection

Koyeb

Image label detection

Detect and extract information about entities in an image

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Ready to go in minutes
Ready to go in minutes

Deploy the Image label detection integration to process data on your processing stack in no time. Koyeb integrations are preconfigured applications to ingest, process, and store your data.

Infinite combination
Infinite combination

Compose processing workflows with ready to use integrations and your own code if needed. Build your business logic with our SDKs in Golang, Node.js, and Python or using Docker images.

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No infrastructure management

Koyeb all-in-one platform is backed by a highly available infrastructure. Build advanced operation pipelines for your data with zero server maintenance.

Integration overview

The label detection integration will return labels about an image. It will detect general objects, locations, activities, animal species, products and more. Labels are returned in English.

This can be used if you want to organize images and enhance metadata of the images.

Example

Annotated Image

Result file:

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{
  "labelAnnotations": [
    {
      "mid": "/m/06gfj",
      "description": "Road",
      "score": 0.9909289479255676,
      "topicality": 0.9909289479255676
    },
    {
      "mid": "/m/0180xr",
      "description": "Neighbourhood",
      "score": 0.9740769267082214,
      "topicality": 0.9740769267082214
    },
    {
      "mid": "/m/01c8br",
      "description": "Street",
      "score": 0.9688264727592468,
      "topicality": 0.9688264727592468
    },
    {
      "mid": "/m/02nfxt",
      "description": "Residential area",
      "score": 0.9680755138397217,
      "topicality": 0.9680755138397217
    },
    {
      "mid": "/m/0dx1j",
      "description": "Town",
      "score": 0.9674532413482666,
      "topicality": 0.9674532413482666
    },
    {
      "mid": "/m/033j3c",
      "description": "Lane",
      "score": 0.9667816758155823,
      "topicality": 0.9667816758155823
    },
    {
      "mid": "/m/01l7t2",
      "description": "Downtown",
      "score": 0.920630931854248,
      "topicality": 0.920630931854248
    },
    {
      "mid": "/m/039jbq",
      "description": "Urban area",
      "score": 0.9186417460441589,
      "topicality": 0.9186417460441589
    },
    {
      "mid": "/m/0bm8qyq",
      "description": "Thoroughfare",
      "score": 0.9161942005157471,
      "topicality": 0.9161942005157471
    },
    {
      "mid": "/m/0fpdgl",
      "description": "Human settlement",
      "score": 0.9122359752655029,
      "topicality": 0.9122359752655029
    }
  ]
}

Input data

An image.

Output data

A JSON file.

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