Places365 Classifier - Algorithm by deeplearning

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1. Introduction This is an image classifier specifically trained for classifying various places. The list of places can be found here . Input: (Required) Image Data API Url, Web (http/https) Url, binary image or a base64 encoded image. (Optional) ?Number of results. (Default=5) Output: Top N classifications. Note: The first call to this algorithm will take a bit longer than sequential calls to due algorithm initialization. All following calls will be significantly faster. 2. Examples Example 1. Parameter 1: Data API Url { "image": "data://deeplearning/example_data/burj_khalifa.jpg" } Output { "predictions": [ {"class": "tower", "prob": 0.6098036170005801}, {"class": "skyscraper", "prob": 0.14249812066555023}, {"class": "office_building", "prob": 0.04916094988584519}, {"class": "downtown", "prob": 0.02924365177750587}, {"class": "church/outdoor", "prob": 0.028504755347967155} ] } Example 2. Parameter 1: HTTP Url { "image": "https://s3.amazonaws.com/algorithmia-assets/algo_desc_images/deeplearning_Places365Classifier/airfield.jpg" } Output: { "predictions": [ {"class": "airfield", "prob": 0.5347753167152406}, {"class": "runway", "prob": 0.2845350205898285}, {"class": "heliport", "prob": 0.09564844518899919}, {"class": "landing_deck", "prob": 0.034962698817253106}, {"class": "raceway", "prob": 0.02728229202330112} ] } Example 3. Parameter 1: Base64 image { "image": "data:image/png;base64....", } Output; { "results":[ {"class": "archive", "prob": 0.16057744622230533}, {"class": "beauty_salon", "prob": 0.11514712870121004}, {"class": "dressing_room", "prob": 0.06852224469184875}, {"class": "biology_laboratory", "prob": 0.044164657592773444}, {"class": "coffee_shop", "prob": 0.037719260901212685} ] } Example 4. Parameter 1: Data API Url Parameter 2: Number of results. { "image": "data://deeplearning/example_data/coast.jpg", "numResults": 15 } Output: { "predictions": [ {"class": "islet", "prob": 0.5723654627799988}, {"class": "cliff", "prob": 0.13769967854022983}, {"class": "coast", "prob": 0.1219320520758629}, {"class": "ocean", "prob": 0.05200425907969475}, {"class": "lagoon", "prob": 0.034720458090305335}, {"class": "harbor", "prob": 0.01532892324030399}, {"class": "lake/natural", "prob": 0.01080096885561943}, {"class": "village", "prob": 0.008164397440850735}, {"class": "valley", "prob": 0.005376808345317839}, {"class": "mountain", "prob": 0.0051351888105273255}, {"class": "river", "prob": 0.004809863399714232}, {"class": "butte", "prob": 0.00298486975952983}, {"class": "sky", "prob": 0.002884584246203304}, {"class": "beach", "prob": 0.0028554031159728765}, {"class": "rainforest", "prob": 0.002376777119934559} ] } 3. Credits For more information please refer to: Places: An Image Database for Deep Scene Understanding B. Zhou, A. Khosla, A. Lapedriza, A. Torralba and A. Oliva Arxiv, 2016 Trained model was retrieved from: Places2 . Demo image were retrieved from Wikipedia: https://en.wikipedia.org/wiki/Skyscraper#/media/File:Burj_Khalifa.jpg https://en.wikipedia.org/wiki/Airport#/media/File:HFX_Airport_4.jpg https://en.wikipedia.org/wiki/Harbor#/media/File:Anacapri_BW_2013-05-14_13-32-36.jpg

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

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1. Type your input

2. See the result

Running algorithm...

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/deeplearning/Places365Classifier/0.1.9

View cURL Docs

algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://deeplearning/Places365Classifier/0.1.9 -d '{{input | formatInput:"cli"}}'

View CLI Docs

import (
  algorithmia "github.com/algorithmiaio/algorithmia-go"
)

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

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://deeplearning/Places365Classifier/0.1.9")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
fmt.Println(response.Result)

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://deeplearning/Places365Classifier/0.1.9");
AlgoResponse result = algo.pipeJson(input);
System.out.println(result.asJsonString());

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://deeplearning/Places365Classifier/0.1.9")
val result = algo.pipeJson(input)
System.out.println(result.asJsonString)

View Scala Docs

var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://deeplearning/Places365Classifier/0.1.9")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });

View Javascript Docs

using Algorithmia;

var input = "{{input | formatInput:"cs"}}";
var client = new Client("YOUR_API_KEY");
var algorithm = client.algo("algo://deeplearning/Places365Classifier/0.1.9");
var response = algorithm.pipe<object>(input);
Console.WriteLine(response.result);

View .NET/C# Docs

var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://deeplearning/Places365Classifier/0.1.9")
           .pipe(input)
           .then(function(response) {
             console.log(response.get());
           });

View NodeJS Docs

import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('deeplearning/Places365Classifier/0.1.9')
print algo.pipe(input)

View Python Docs

library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("deeplearning/Places365Classifier/0.1.9")
result <- algo$pipe(input)$result
print(result)

View R Docs

require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('deeplearning/Places365Classifier/0.1.9')
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("deeplearning/Places365Classifier/0.1.9");
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: "deeplearning/Places365Classifier/0.1.9") { resp, error in
  print(resp)
}

View Swift Docs

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