{"id":27728,"date":"2019-12-30T15:24:35","date_gmt":"2019-12-30T20:24:35","guid":{"rendered":"https:\/\/mjtsai.com\/blog\/?p=27728"},"modified":"2020-01-24T15:16:12","modified_gmt":"2020-01-24T20:16:12","slug":"comparison-of-reverse-image-search-engines","status":"publish","type":"post","link":"https:\/\/mjtsai.com\/blog\/2019\/12\/30\/comparison-of-reverse-image-search-engines\/","title":{"rendered":"Comparison of Reverse Image Search Engines"},"content":{"rendered":"<p><a href=\"https:\/\/www.bellingcat.com\/resources\/how-tos\/2019\/12\/26\/guide-to-using-reverse-image-search-for-investigations\/\">Aric Toler<\/a> (via <a href=\"https:\/\/pxlnv.com\/linklog\/bellingcat-reverse-image-search\/\">Nick Heer<\/a>):<\/p>\n<blockquote cite=\"https:\/\/www.bellingcat.com\/resources\/how-tos\/2019\/12\/26\/guide-to-using-reverse-image-search-for-investigations\/\"><p>However, if you only use Google for reverse image searching, you will be disappointed more often than not. Limiting your search process to uploading a photograph in its original form to just images.google.com may give you useful results for the most obviously stolen or popular images, but for most any sophisticated research project, you need additional sites at your disposal &mdash; along with a lot of creativity.<\/p>\n<p>This guide will walk through detailed strategies to use reverse image search in digital investigations, with an eye towards identifying people and locations, along with determining an image&rsquo;s progeny.<\/p><\/blockquote>\n<p>He says Yandex is &ldquo;by far the best.&rdquo;<\/p>\n\n<p id=\"comparison-of-reverse-image-search-engines-update-2020-01-24\">Update (2020-01-24): <a href=\"https:\/\/pxlnv.com\/linklog\/minar-yandex\/\">Nick Heer<\/a>:<\/p>\n<blockquote cite=\"https:\/\/pxlnv.com\/linklog\/minar-yandex\/\">\n<p>At the time that I linked to the <em>Bellingcat<\/em> report, <a href=\"https:\/\/pxlnv.com\/linklog\/bellingcat-reverse-image-search\/\">I wondered<\/a> why Google&rsquo;s reverse image recognition, in particular, was so bad in comparison. In tests, it even missed imagery from Google Street View despite Google regularly promoting its abilities in machine learning, image identification, and so on. In what I can only explain as a massive and regrettable oversight, it is clear to me that the reason Google&rsquo;s image search is so bad is because Google designed it that way. Otherwise, Google would have launched something like Yandex or <a href=\"https:\/\/pxlnv.com\/linklog\/nyt-clearview-ai\/\">Clearview AI<\/a>, and that would be dangerous.<\/p>\n<\/blockquote>","protected":false},"excerpt":{"rendered":"<p>Aric Toler (via Nick Heer): However, if you only use Google for reverse image searching, you will be disappointed more often than not. Limiting your search process to uploading a photograph in its original form to just images.google.com may give you useful results for the most obviously stolen or popular images, but for most any [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"apple_news_api_created_at":"2019-12-30T20:24:38Z","apple_news_api_id":"5d8b6735-e732-4dcc-8efd-97fba4d8d6af","apple_news_api_modified_at":"2020-01-24T20:16:15Z","apple_news_api_revision":"AAAAAAAAAAAAAAAAAAAAAA==","apple_news_api_share_url":"https:\/\/apple.news\/AXYtnNecyTcyO_Zf7pNjWrw","apple_news_coverimage":0,"apple_news_coverimage_caption":"","apple_news_is_hidden":false,"apple_news_is_paid":false,"apple_news_is_preview":false,"apple_news_is_sponsored":false,"apple_news_maturity_rating":"","apple_news_metadata":"\"\"","apple_news_pullquote":"","apple_news_pullquote_position":"","apple_news_slug":"","apple_news_sections":"\"\"","apple_news_suppress_video_url":false,"apple_news_use_image_component":false,"footnotes":""},"categories":[2],"tags":[1351,313,51,343,1911],"class_list":["post-27728","post","type-post","status-publish","format-standard","hentry","category-technology","tag-artificial-intelligence","tag-bing","tag-google","tag-search","tag-yandex"],"apple_news_notices":[],"_links":{"self":[{"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/posts\/27728","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/comments?post=27728"}],"version-history":[{"count":2,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/posts\/27728\/revisions"}],"predecessor-version":[{"id":27934,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/posts\/27728\/revisions\/27934"}],"wp:attachment":[{"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/media?parent=27728"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/categories?post=27728"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mjtsai.com\/blog\/wp-json\/wp\/v2\/tags?post=27728"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}