{"id":5221,"date":"2024-04-02T08:51:58","date_gmt":"2024-04-02T08:51:58","guid":{"rendered":"https:\/\/radicalbit.ai\/?post_type=glossary&p=5221"},"modified":"2024-04-12T14:56:10","modified_gmt":"2024-04-12T14:56:10","slug":"intersection-over-union","status":"publish","type":"glossary","link":"https:\/\/radicalbit.ai\/it\/resources\/glossary\/intersection-over-union\/","title":{"rendered":"Intersection over Union (IoU)"},"content":{"rendered":"\n

Intersection over Union (IoU), also known as the Jaccard index, is a commonly used metric in computer vision to evaluate the performance of object detection<\/a> algorithms. It measures the overlap between the predicted bounding box (output by the algorithm) and the ground truth bounding box (annotated by humans).<\/p>\n\n\n\n

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Intersection over Union (IoU), also known as the Jaccard index, is a commonly used metric in computer vision to evaluate the performance of object detection…<\/p>\n","protected":false},"author":1,"featured_media":4814,"menu_order":0,"template":"","meta":{"footnotes":""},"class_list":["post-5221","glossary","type-glossary","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nIntersection over Union (IoU) | Radicalbit<\/title>\n<meta name=\"description\" content=\"Interstection over Union (IOU) is a commonly used metric in computer vision to evaluate the performance of object detection algorithms\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/radicalbit.ai\/it\/resources\/glossary\/intersection-over-union\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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