Image Tagging

Use Deep Learning to Identify Features in an Image

Select an image

Paste the URL to an image or UPLOAD

Autotag It

Or, try these sample images:

How it works

Quickly Identify Features and Automatically Tag Images

Our state-of-the-art deep learning models can dentify features in images, but different models produce slightly different results. We host a variety of different implementations, so you can pick the one(s) which work best for you!

The IllustrationTagger and InceptionNet microservices are just two of the many cloud-scaled CNN deep-learning models hosted on Algorithmia which can recognize hundreds of different features in images.

IllustrationTagger is a version of Saito, Masaki and Matsui, Yusuke. (2015). Illustration2Vec: A Semantic Vector Representation of Illustrations. SIGGRAPH Asia Technical Briefs. 2015. Learn more about their work here.

InceptionNet is a direct implementation of Google's InceptionNet, which was trained on the ImageNet 2015 dataset. It is implemented using Google's Tensorflow python bindings.

Let us know what you think @Algorithmia or by email.

Built For Developers

A simple, scalable API for machine intelligence

SAMPLE INPUTr

import Algorithmia

image = "_IMAGE_URL_"
client = Algorithmia.client("_API_KEY_")

tagger1 = client.algo("deeplearning/IllustrationTagger/0.2.5")
tagger2 = client.algo("deeplearning/InceptionNet/1.0.3")

print "IllustrationTagger:", tagger1.pipe({"image": image})
print "InceptionNet:", tagger2.pipe(image)

SAMPLE OUTPUT

IllustrationTagger:
{
  "rating": [
    {"safe": 0.9961}
  ],
  "general": [
    {"no humans": 0.7062},
    {"monochrome": 0.6084}
  ]
}

InceptionNet:
{
  "tags": [
    {
      "class": "cliff, drop, drop-off",
      "confidence": 0.4765
    },
    {
      "class": "alp",
      "confidence": 0.1755
    }
  ]
}
LEARN MORE

Join the thousands of developers already building intelligent apps

Get 10,000 additional credits when you sign up using the code "demos"

SIGN UP FOR FREE

Algorithms as a Microservice

Leverage an ever-growing library of more than 2,800 algorithmic microservices via an intuitive API. We provide the tools and manage the cloud infrastructure needed to run it at scale.

Learn more

Web Services for Business Logic

Instantly deploy your backend code as an API for public or private consumption. Every algorithm runs as it's own microservice, making each composable, interoperable, and secure.

Learn more

Hosted Trained Models

Have a trained machine learning or deep learning model? Turn it into a serverless microservices in minutes. We'll show you how to get started for free, and scale with ease.

Learn more