{"id":21572,"date":"2017-10-19T18:38:56","date_gmt":"2017-10-19T18:38:56","guid":{"rendered":"http:\/\/how_to_automatically_tag_images_with_amazon_rekognition"},"modified":"2024-05-29T15:46:34","modified_gmt":"2024-05-29T22:46:34","slug":"how_to_automatically_tag_images_with_amazon_rekognition","status":"publish","type":"post","link":"https:\/\/cloudinary.com\/blog\/how_to_automatically_tag_images_with_amazon_rekognition","title":{"rendered":"How to automatically tag images with Amazon Rekognition"},"content":{"rendered":"

Knowledge is power. And if you allow your users to upload images, you also probably want to better understand what their images contain. Whether a photo is of a building, people, animals, celebrities, or a product, image processing and analysis can assist in further comprehension. The benefits of this knowledge can go beyond \u201cmerely\u201d categorizing your content and making your image library searchable: drawing insights from user generated content can be very useful! What better way to learn more about your users than to analyze the images they upload and find out what they care about and then have the ability to display relevant content to them according to their interests or even match them with other users that share similar interests.<\/p>\n

Analyzing the contents of a photograph would be a huge time sink if performed manually on a lot of images. Enter Amazon Rekognition<\/a>, a service that uses deep neural network models to detect and tag thousands of people, objects and scenes in your images, and lets you easily build powerful visual search and discovery into your applications.<\/p>\n

Cloudinary has integrated two Amazon Rekognition add-ons into its image management and transformation pipeline: the Amazon Rekognition Auto Tagging<\/a> add-on and the Amazon Rekognition Celebrity Detection<\/a> add-on.<\/p>\n\n\n
\nCustomers are increasingly looking for innovative ways to generate more data around their media assets to derive actionable business insights. By using Amazon Rekognition, Cloudinary is bringing this technology closer to its clients so they can build their own unique experience.\n

– Ranju Das, Director of Amazon Rekognition, Amazon Web Services, Inc. <\/i><\/p>\n<\/td>\n<\/tr>\n<\/table>\n

Amazon Rekognition: Categorization<\/h2>\n

The Amazon Rekognition Auto Tagging add-on can automatically identify what\u2019s in a photograph and returns a list of detected categories and the confidence score of each category. The add-on is very simple to use: just set the categorization<\/code> parameter of Cloudinary\u2019s image upload API to aws_rek_tagging<\/code> while uploading a new image or updating an existing image and the response will include a list of identified tags for the image.<\/p>\n

For example, uploading the following picture of a puppy to Cloudinary and requesting categorization:<\/p>\n\n Loading code examples<\/span>\n <\/cld-code-widget>\n

\n Loading code examples<\/span>\n <\/cld-code-widget>\"image<\/a><\/p>\n

The upload response includes the various categories that were automatically detected in the uploaded photo together with the confidence level of the detected category. So Amazon Rekognition is 91% sure that the picture contains a puppy and is 82% sure that the breed is Newfoundland.<\/p>\n

...\n\"info\"<\/span>: {\n  \"categorization\"<\/span>: {\n    \"aws_rek_tagging\"<\/span>: {\n      \"status\"<\/span>: \"complete\"<\/span>, \n      \"data\"<\/span>: [\n        {\"tag\"<\/span>: \"Animal\"<\/span>, \"confidence\"<\/span>: 0.9117<\/span>},\n        {\"tag\"<\/span>: \"Canine\"<\/span>, \"confidence\"<\/span>: 0.9117<\/span>}, \n        {\"tag\"<\/span>: \"Dog\"<\/span>, \"confidence\"<\/span>: 0.9117<\/span>}, \n        {\"tag\"<\/span>: \"Mammal\"<\/span>, \"confidence\"<\/span>: 0.9117<\/span>}, \n        {\"tag\"<\/span>: \"Pet\"<\/span>, \"confidence\"<\/span>: 0.9117<\/span>}, \n        {\"tag\"<\/span>: \"Puppy\"<\/span>, \"confidence\"<\/span>: 0.9117<\/span>}, \n        {\"tag\"<\/span>: \"Newfoundland\"<\/span>, \"confidence\"<\/span>: 0.8253<\/span>}, \n        {\"tag\"<\/span>: \"Husky\"<\/span>, \"confidence\"<\/span>: 0.596<\/span>}, \n        {\"tag\"<\/span>: \"Adorable\"<\/span>, \"confidence\"<\/span>: 0.5791<\/span>} \n...\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n
Amazon Rekognition: Celebrity Detection<\/h2>\n
The Amazon Rekognition Celebrity Detection add-on can automatically recognize thousands of celebrities in a wide range of categories, such as entertainment and media, sports, business, and politics.\nThis add-on is also very simple to use: just set the detection<\/code> parameter of Cloudinary\u2019s image upload API to aws_rek_face<\/code> while uploading a new image or updating an existing image, and the response will include a list of identified celebrities for the image.<\/p>\n
For example, uploading the following picture to Cloudinary and requesting detection:<\/p>\n\n      Loading code examples<\/span>\n    <\/cld-code-widget>\n
\n      Loading code examples<\/span>\n    <\/cld-code-widget>\"brangelina\"<\/a><\/p>\n
The upload response includes the various celebrities that were automatically detected in the uploaded photo together with the confidence level of the detected celebrity. So Amazon Rekognition is 100% sure that this is a picture of Brad Pitt and Angelina Jolie. The response also includes information about unrecognized faces detected in the image if relevant, and the results provide detailed data on each face\u2019s location, pose, orientation within the image, and facial landmarks.<\/p>\n
{\n...\n\"info\"<\/span>: \n  {\"detection\"<\/span>: \n    {\"aws_rek_face\"<\/span>: \n      {\"status\"<\/span>: \"complete\"<\/span>,\n       \"data\"<\/span>: \n        {\"celebrity_faces\"<\/span>: \n          [{ \n            \"name\"<\/span>: \"Angelina Jolie\"<\/span>,\n            \"match_confidence\"<\/span>: 100.0<\/span>\n            \"face\"<\/span>:\n             {\"bounding_box\"<\/span>:\n               {\"width\"<\/span>...\n              },\n              \"landmarks\"<\/span>:\n               [{\"type\"<\/span>: \"eyeLeft\"<\/span>,\n                 \"x\"<\/span>: ...\n               }],\n            ...\n           },\n                 ...\n            \"name\"<\/span>: \"Brad Pitt\"<\/span>,\n            \"match_confidence\"<\/span>: 100.0<\/span>},\n                 ...\n        \"unrecognized_faces\"<\/span>: [ ],\n         ...\n}}}}}\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n
Automatically tagging images<\/h2>\n
Cloudinary allows you to tag uploaded images<\/a>, where each image can be assigned one or more tags. You can also leverage the Amazon Rekognition add-ons to automatically assign tags to your images based on a minimum confidence score of identified categories\/celebrities.<\/p>\n
Simply add the auto_tagging<\/code> parameter to the upload call and the image is automatically assigned resource tags based on the Amazon Rekognition detected categories\/celebrities. The value of the auto_tagging<\/code> parameter is the minimum confidence score of a detected celebrity that should be used for the automatically assigned resource tag. The value of the auto_tagging<\/code> parameter is given as a decimal value between 0 and 1, where 1 represents 100%. Assigning these resource tags allows you to list and search images in your media library using Cloudinary\u2019s API and Web interface.<\/p>\n
Note that the automatic tagging feature can be used with either of the Amazon Rekognition add-ons or with both<\/strong> together. The following example automatically tags an uploaded image with all detected categories and<\/em> celebrities that have a confidence score of at least 70% (auto_tagging = 0.7).<\/p>\n\n      Loading code examples<\/span>\n    <\/cld-code-widget>\n
\n      Loading code examples<\/span>\n    <\/cld-code-widget>\"Steve<\/a><\/p>\n
The response of the upload API call above returns the detected categories<\/strong>, the detected celebrities<\/strong>, and the automatically assigned tags<\/strong>.<\/p>\n
{\n   ...\n  \"tags\"<\/span>: [\"people\"<\/span>,\"person\"<\/span>,\"human\"<\/span>,\"electronics\"<\/span>,\"iphone\"<\/span>,\"mobile phone\"<\/span>,\"phone\"<\/span>,\"Steve Jobs\"<\/span>]\n  \"info\"<\/span>: {\n    \"detection\"<\/span>: {\n      \"aws_rek_face\"<\/span>: {\n        \"status\"<\/span>: \"complete\"<\/span>,\n        \"data\"<\/span>: [{\n           \"name\"<\/span>: \"Steve Jobs\"<\/span>, \n           \"match_confidence\"<\/span>: 99.99<\/span>,\n            \"face\"<\/span>: {\n              \"bounding_box\"<\/span>: {\n                \"width\"<\/span>...\n             },\n             \"landmarks\"<\/span>: [{\n               \"type\"<\/span>: \"eyeLeft\"<\/span>,\n                 \"x\"<\/span>: ...\n               }],\n            ...\n           },\n        \"unrecognized_faces\"<\/span>: [ ],\n         ...\n     }\n     \"categorization\"<\/span>: {\n       \"aws_rek_tagging\"<\/span>: {\n         \"status\"<\/span>: \"complete\"<\/span>, \n         \"data\"<\/span>: [{\n           \"tag\"<\/span>: \"People\"<\/span>, \"confidence\"<\/span>: 0.9925<\/span>},\n           \"tag\"<\/span>: \"Person\"<\/span>, \"confidence\"<\/span>: 0.9925<\/span>},\n           \"tag\"<\/span>: \"Human\"<\/span>, \"confidence\"<\/span>: 0.9924<\/span>},\n           \"tag\"<\/span>: \"Electronics\"<\/span>, \"confidence\"<\/span>: 0.7918<\/span>},\n           \"tag\"<\/span>: \"Iphone\"<\/span>, \"confidence\"<\/span>: 0.7918<\/span>},\n           \"tag\"<\/span>: \"Mobile Phone\"<\/span>, \"confidence\"<\/span>: 0.7918<\/span>},\n           \"tag\"<\/span>: \"Phone\"<\/span>, \"confidence\"<\/span>: 0.7918<\/span>},\n           \"tag\"<\/span>: \"Computer\"<\/span>, \"confidence\"<\/span>: 0.6756<\/span>},\n           \"tag\"<\/span>: \"Tablet Computer\"<\/span>, \"confidence\"<\/span>: 0.6756<\/span>},\n           \"tag\"<\/span>: \"Face\"<\/span>, \"confidence\"<\/span>: 0.5396<\/span>},\n           \"tag\"<\/span>: \"Selfie\"<\/span>, \"confidence\"<\/span>: 0.5396<\/span>},\n           \"tag\"<\/span>: \"Cell Phone\"<\/span>, \"confidence\"<\/span>: 0.5067<\/span>}]}\n      ...  \n}\n<\/code><\/span>Code language:<\/span> JavaScript<\/span> (<\/span>javascript<\/span>)<\/span><\/small><\/pre>\n
Summary<\/h2>\n
Understanding the images that your users upload can provide you with great insights, allow you to take actions such as creating dynamic content pages, and match content to user preferences. Cloudinary\u2019s service together with the fully integrated Amazon Rekognition Auto Tagging<\/a> and Amazon Rekognition Celebrity Detection<\/a> add-ons provides developers with the powerful ability to enhance their image content management as well as increase their online users\u2019 engagement and conversion.<\/p>\n
<\/img><\/a><\/p>\n
<\/img><\/a><\/p>\n
The add-ons are available with all Cloudinary plans, and both add-ons have a free tier for you to try out. If you don\u2019t have a Cloudinary account yet, sign up for a free account here<\/a>.<\/p>\n
(Hugh Laurie photo credit to Fido<\/a>)<\/small><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":41,"featured_media":21573,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_cloudinary_featured_overwrite":false,"footnotes":""},"categories":[1],"tags":[25,91,165,176,214,227,229,257],"class_list":["post-21572","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-asset-management","tag-django","tag-image-transformation","tag-java","tag-node","tag-performance-optimization","tag-php","tag-ruby-on-rails"],"acf":[],"yoast_head":"\nAnalyze and auto tag images with Amazon Rekognition<\/title>\n<meta name=\"description\" content=\"Use Rekognition's image categorization and celebrity detection add-ons to automatically tag images uploaded by your users\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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For more information on the Amazon Rekognition Celebrity Detection add-on, see the documentation<\/a>.<\/p>\n
For more information on the Amazon Rekognition Auto Tagging add-on, see the documentation<\/a>.<\/p>\n