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This algorithm detects nudity in pictures by using the  Illustration Tagger  algorithm to determine whether or not an image contains nudity.. Table of content Introduction Examples Introduction This algorithm uses a tag output vector from Illustration Tagger to weight the different tags according to how they coincide with nudity in images. Inputs We allow for two independent input formats; the first as a standard string input, and the second as a JSON object. string formatted input "image" ( required )  image - Image can be an http://, https:// or data:// url link to an image file. The currently supported image types are .jpg and .png.  As of 0.2.6, src can also be a String (base64 encoded image) e.g. "data:image/png;base64,iVBORw... " json formatted Input {
 "image": String 
 } ( required )  image - Image can be an http://, https:// or data:// url link to an image file, or   a String (base64 encoded image. The currently supported image types are .jpg and .png. Output JSON object containing values for "nude", "confidence" and if given a URL or data URI, returns the URL given. Examples Example 1. Parameter 1: Safe image URL "" Output: {
 "url": "",
 "confidence": 0.5169059189709979,
 "nude": false
} Example 2. Parameter 1: Nude image URL "" Output: { 
 "url": "", 
 "confidence": 1, 
 "nude": true

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Cost Breakdown

2 cr
royalty per call
1 cr
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avg duration
This algorithm has permission to call other algorithms which may incur separate royalty and usage costs.

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For additional details on how pricing works, see Algorithmia pricing.

Internet access

This algorithm has Internet access. This is necessary for algorithms that rely on external services, however it also implies that this algorithm is able to send your input data outside of the Algorithmia platform.

Calls other algorithms

This algorithm has permission to call other algorithms. This allows an algorithm to compose sophisticated functionality using other algorithms as building blocks, however it also carries the potential of incurring additional royalty and usage costs from any algorithm that it calls.

To understand more about how algorithm permissions work, see the permissions documentation.

1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY'
View cURL Docs
algo auth
algo run algo://sfw/NudityDetectioni2v/0.2.12 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia ""

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://sfw/NudityDetectioni2v/0.2.12")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://sfw/NudityDetectioni2v/0.2.12");
AlgoResponse result = algo.pipeJson(input);
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://sfw/NudityDetectioni2v/0.2.12")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
using Algorithmia;

var input = "{{input | formatInput:"cs"}}";
var client = new Client("YOUR_API_KEY");
var algorithm = client.algo("algo://sfw/NudityDetectioni2v/0.2.12");
var response = algorithm.pipe<object>(input);
View .NET/C# Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('sfw/NudityDetectioni2v/0.2.12')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("sfw/NudityDetectioni2v/0.2.12")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('sfw/NudityDetectioni2v/0.2.12')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::Algorithmia;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("sfw/NudityDetectioni2v/0.2.12");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "sfw/NudityDetectioni2v/0.2.12") { resp, error in
View Swift Docs
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