{"id":3276,"date":"2020-11-29T20:12:13","date_gmt":"2020-11-29T20:12:13","guid":{"rendered":"http:\/\/digitalscientists.com\/?post_type=case_studies&p=3276"},"modified":"2024-06-13T07:50:40","modified_gmt":"2024-06-13T07:50:40","slug":"image-saliency-detection","status":"publish","type":"case-studies","link":"https:\/\/digitalscientists.com\/case-studies\/image-saliency-detection\/","title":{"rendered":"Image saliency detection"},"content":{"rendered":"\n\n\n\n
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\n Image saliency detection <\/h2>\n\n
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Identify the most important objects in an image<\/h1>\n <\/div>\n \n \n
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To improve personalization in its service offerings, a global leader in marketing automation asked us to create a way to identify the most salient visual elements, or focal points, within images across thousands of websites.<\/p>\n <\/div>\n \n

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Machine learning helped us identify the most important objects.<\/h2>\n<\/div>\n\n\n\n
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To automatically identify the most relevant or salient visual elements within thousands of images, we used a process called image saliency, which enables its user to detect logos, branding, and other key design elements in websites. Image saliency detection can be used by marketers in AI-driven design automation to personalize marketing activities or to provide automated design services.<\/p>\n<\/div>\n<\/div>\n\n\n\n\n\n\n\n\n