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Image & Video Annotation

We'll draw the bounding boxes.

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Object detection in images and video

Whether it be autonomous vehicle training data, facial recognition data, or other object detection data let us draw the bounding boxes so you don’t have to.

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Drones

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Robotics

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Self-driving Cars

A cut above the rest

We have fully In-house managed teams with smart routing and quality control layers built into our execution and delivery. Through a combination of Machine Learning, NLP and human-led task execution we ensure high Quality, Security, Reliability and Speed.

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Made by developers, for developers

  • Curl
  • Javascript
  • Python
  • Ruby

curl --request POST \

--url https://api.taskware.io/annotations \

--header 'accept: application/vnd.api+json; version=1' \

--header 'content-type: application/vnd.api+json' \

--header 'x-api-key: TASKWARE-TEST-API-TOKEN' \

--data '{"data":{"type":"annotations","attributes":{"annotations":["cat","dog"],"bounding-box":{"min-height":10,"min-width":10,"include-labels":true},"guidelines":"Draw bounding boxes around all individual cats and dogs. Choose the appropriate annotation for each box.","callback-url":"http://example.com","media":{"type":"image","source":"http://example.com/image.png"}}}}'

var data = JSON.stringify

({ "data": {

"type": "annotations",

"attributes": { "annotations": [

"cat",

"dog"

],

"bounding-box": {

"min-height": 10,

"min-width": 10,

"include-labels": true

},

"guidelines": "Draw bounding boxes around all individual cats and dogs. Choose the appropriate annotation for each box.",

"callback-url": "http://example.com",

"media": {

"type": "image",

"source": "http://example.com/image.png"

}

}

}

});

var xhr = new XMLHttpRequest();

xhr.withCredentials = true;

xhr.addEventListener("readystatechange", function ()

{ if (this.readyState === this.DONE) {

console.log(this.responseText);

}

});

xhr.open("POST", "https://api.taskware.io/annotations");

xhr.setRequestHeader("x-api-key", "TASKWARE-TEST-API-TOKEN");

xhr.setRequestHeader("content-type", "application/vnd.api+json");

xhr.setRequestHeader("accept", "application/vnd.api+json; version=1");

xhr.send(data);

import http.client

conn = http.client.HTTPSConnection("api.taskware.io")

payload = "{\"data\":{\"type\":\"annotations\",\"attributes\":{\"annotations\":[\"cat\",\"dog\"],\"bounding-box\":{\"min-height\":10,\"min-width\":10,\"include-labels\":true},\"guidelines\":\"Draw bounding boxes around all individual cats and dogs. Choose the appropriate annotation for each box.\",\"callback-url\":\"http://example.com\",\"media\":{\"type\":\"image\",\"source\":\"http://example.com/image.png\"}}}}"

headers = {

'x-api-key': "TASKWARE-TEST-API-TOKEN",

'content-type': "application/vnd.api+json",

'accept': "application/vnd.api+json; version=1"

}

conn.request("POST", "/annotations", payload, headers)

res = conn.getresponse()

data = res.read()

print(data.decode("utf-8"))

require 'uri'

require 'net/http'

url = URI("https://api.taskware.io/annotations")

http = Net::HTTP.new(url.host, url.port)

http.use_ssl = true

http.verify_mode = OpenSSL::SSL::VERIFY_NONE

request = Net::HTTP::Post.new(url)

request["x-api-key"] = 'TASKWARE-TEST-API-TOKEN'

request["content-type"] = 'application/vnd.api+json'

request["accept"] = 'application/vnd.api+json; version=1'

request.body = "{\"data\":{\"type\":\"annotations\",\"attributes\":{\"annotations\":[\"cat\",\"dog\"],\"bounding-box\":{\"min-height\":10,\"min-width\":10,\"include-labels\":true},\"guidelines\":\"Draw bounding boxes around all individual cats and dogs. Choose the appropriate annotation for each box.\",\"callback-url\":\"http://example.com\",\"media\":{\"type\":\"image\",\"source\":\"http://example.com/image.png\"}}}}"

response = http.request(request)

puts response.read_body

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