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Image Labeling
plat_iosplat_android
With Cloud Vision's image labeling APIs, you can recognize entities in
an image without having to provide any additional contextual metadata.
Image labeling gives you insight into the content of images. When you use the
API, you get a list of the entities that were recognized: people, things,
places, activities, and so on. Each label found comes with a score that
indicates the confidence the ML model has in its relevance. With this
information, you can perform tasks such as automatic metadata generation
and content moderation.
Firebase ML's image labeling API is powered by Google Cloud's
industry-leading image understanding capability, which can classify
images with 10,000+ labels in many categories. (See below.)
In addition the text description of each label that Firebase ML
returns, it also returns the label's Google Knowledge Graph entity ID.
This ID is a string that uniquely identifies the entity represented by
the label, and is the same ID used by the
Knowledge Graph Search API.
You can use this string to identify an entity across languages, and
independently of the formatting of the text description.
Limited no-cost use
No-cost for first 1000 uses of this feature per month: see
Pricing
Example labels
The image labeling API supports 10,000+ labels, including the following examples
and many more:
Category
Example labels
Category
Example labels
Arts & entertainment
Sculpture Musical Instrument Dance
Astronomical objects
Comet Galaxy Star
Business & industrial
Restaurant Factory Airline
Colors
Red Green Blue
Design
Floral Pattern Wood Stain
Drink
Coffee Tea Milk
Events
Meeting Picnic Vacation
Fictional characters
Santa Claus Superhero Mythical creature
Food
Casserole Fruit Potato chip
Home & garden
Laundry basket Dishwasher Fountain
Activities
Wedding Dancing Motorsport
Materials
Ceramic Textile Fiber
Media
Newsprint Document Sign
Modes of transport
Aircraft Motorcycle Subway
Occupations
Actor Florist Police
Organisms
Plant Animal Fungus
Organizations
Government Club College
Places
Airport Mountain Tent
Technology
Robot Computer Solar panel
Things
Bicycle Pipe Doll
Example results
Photo: Clément Bucco-Lechat / Wikimedia Commons / CC BY-SA 3.0
[null,null,["Last updated 2025-08-28 UTC."],[],[],null,["Image Labeling \nplat_ios plat_android \n\nWith Cloud Vision's image labeling APIs, you can recognize entities in\nan image without having to provide any additional contextual metadata.\n\nImage labeling gives you insight into the content of images. When you use the\nAPI, you get a list of the entities that were recognized: people, things,\nplaces, activities, and so on. Each label found comes with a score that\nindicates the confidence the ML model has in its relevance. With this\ninformation, you can perform tasks such as automatic metadata generation\nand content moderation.\n\n\u003cbr /\u003e\n\nReady to get started? Choose your platform:\n\n[iOS+](/docs/ml/ios/label-images)\n[Android](/docs/ml/android/label-images)\n\n\u003cbr /\u003e\n\n| **Want to label images with your own categories?** Train your own image labeling models with [AutoML Vision Edge](/docs/ml/automl-image-labeling).\n| **Looking for on-device image labeling?** Try the [standalone ML Kit library](https://developers.google.com/ml-kit/vision/image-labeling).\n\nKey capabilities\n\n|--------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| High-accuracy image labeling | Firebase ML's image labeling API is powered by Google Cloud's industry-leading image understanding capability, which can classify images with 10,000+ labels in many categories. (See below.) Try it yourself with the [Cloud Vision API demo](https://cloud.google.com/vision/docs/drag-and-drop). |\n| Knowledge Graph entity support | In addition the text description of each label that Firebase ML returns, it also returns the label's Google Knowledge Graph entity ID. This ID is a string that uniquely identifies the entity represented by the label, and is the same ID used by the [Knowledge Graph Search API](https://developers.google.com/knowledge-graph/). You can use this string to identify an entity across languages, and independently of the formatting of the text description. |\n| Limited no-cost use | No-cost for first 1000 uses of this feature per month: see [Pricing](/pricing) |\n\nExample labels\n\nThe image labeling API supports 10,000+ labels, including the following examples\nand many more:\n\n| Category | Example labels | Category | Example labels |\n|------------------------|------------------------------------------|----------------------|-----------------------------------------------|\n| Arts \\& entertainment | `Sculpture` `Musical Instrument` `Dance` | Astronomical objects | `Comet` `Galaxy` `Star` |\n| Business \\& industrial | `Restaurant` `Factory` `Airline` | Colors | `Red` `Green` `Blue` |\n| Design | `Floral` `Pattern` `Wood Stain` | Drink | `Coffee` `Tea` `Milk` |\n| Events | `Meeting` `Picnic` `Vacation` | Fictional characters | `Santa Claus` `Superhero` `Mythical creature` |\n| Food | `Casserole` `Fruit` `Potato chip` | Home \\& garden | `Laundry basket` `Dishwasher` `Fountain` |\n| Activities | `Wedding` `Dancing` `Motorsport` | Materials | `Ceramic` `Textile` `Fiber` |\n| Media | `Newsprint` `Document` `Sign` | Modes of transport | `Aircraft` `Motorcycle` `Subway` |\n| Occupations | `Actor` `Florist` `Police` | Organisms | `Plant` `Animal` `Fungus` |\n| Organizations | `Government` `Club` `College` | Places | `Airport` `Mountain` `Tent` |\n| Technology | `Robot` `Computer` `Solar panel` | Things | `Bicycle` `Pipe` `Doll` |\n\nExample results Photo: Clément Bucco-Lechat / Wikimedia Commons / CC BY-SA 3.0\n\n| Label | Knowledge Graph entity ID | Confidence |\n|-------------------------|---------------------------|------------|\n| sport venue | /m/0bmgjqz | 0.9860726 |\n| player | /m/02vzx9 | 0.9797604 |\n| stadium | /m/019cfy | 0.9635762 |\n| soccer specific stadium | /m/0404y4 | 0.95806926 |\n| football player | /m/0gl2ny2 | 0.9510419 |\n| sports | /m/06ntj | 0.9253524 |\n| soccer player | /m/0pcq81q | 0.9033665 |\n| arena | /m/018lrm | 0.8897188 |"]]
