Stay organized with collections
Save and categorize content based on your preferences.
Image Labeling
plat_iosplat_android
With ML Kit's image labeling APIs, you can recognize entities in an
image without having to provide any additional contextual metadata, using either
an on-device API or a cloud-based API.
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.
If you're a Flutter developer, you might be interested in
FlutterFire,
which includes a plugin for Firebase's ML Vision APIs.
Choose between on-device and Cloud APIs
On-device
Cloud
Pricing
Free
Free for first 1000 uses of this feature per month: see
Pricing
Label coverage
400+ labels that cover the most commonly-found concepts in photos. See
below.
10,000+ labels in many categories. See below.
Also, try the
Cloud
Vision API demo to see what labels can be found for an image you
provide.
Knowledge Graph entity ID support
Example on-device labels
The device-based API supports 400+ labels, such as the following examples:
Category
Example labels
People
Crowd Selfie Smile
Activities
Dancing Eating Surfing
Things
Car Piano Receipt
Animals
Bird Cat Dog
Plants
Flower Fruit Vegetable
Places
Beach Lake Mountain
Example cloud labels
The cloud-based API supports 10,000+ labels, such as the following examples:
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
Google Knowledge Graph entity IDs
In addition the text description of each label that ML Kit 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.
Example results
Photo: Clément Bucco-Lechat / Wikimedia Commons / CC BY-SA 3.0
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-10-31 UTC."],[],[]]
