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<\/figure>\n\n\n\n\u0627\u0644\u062e\u0637\u0648\u0629 7: \u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0625\u0639\u062f\u0627\u062f\u0627\u062a \u0627\u0644\u0645\u0642\u0635\u0648\u062f\u0629<\/h3>\n\n\n\n
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\n- \u0645\u0631\u0627\u062c\u0639\u0629 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0625\u064a\u062c\u0627\u0628\u064a\u0629 \u0627\u0644\u062e\u0627\u0637\u0626\u0629 \u0648\u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0633\u0644\u0628\u064a\u0629 \u0627\u0644\u062e\u0627\u0637\u0626\u0629<\/li>\n\n\n\n
- \u062a\u062d\u062f\u064a\u062f \u0623\u0646\u0645\u0627\u0637 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629<\/li>\n\n\n\n
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\u0648\u0639\u0646\u062f\u0645\u0627 \u064a\u0646\u062c\u062d \u0627\u0644\u0623\u0645\u0631\u060c \u0641\u0625\u0646\u0647 \u064a\u0645\u064a\u0644 \u0625\u0644\u0649 \u0627\u0644\u0627\u0633\u062a\u0645\u0631\u0627\u0631 \u0641\u064a \u0627\u0644\u0639\u0645\u0644\u060c \u062d\u062a\u0649 \u0645\u0639 \u062a\u063a\u064a\u0631 \u0627\u0644\u0638\u0631\u0648\u0641.<\/p>\n\n\n\n
\u0627\u0644\u0623\u0633\u0626\u0644\u0629 \u0627\u0644\u0634\u0627\u0626\u0639\u0629<\/h2>\n\n\n\n\u0643\u0645 \u0645\u0646 \u0627\u0644\u0648\u0642\u062a \u064a\u0633\u062a\u063a\u0631\u0642 \u062a\u062f\u0631\u064a\u0628 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u061f<\/strong> \u064a\u0639\u062a\u0645\u062f \u0627\u0644\u062c\u062f\u0648\u0644 \u0627\u0644\u0632\u0645\u0646\u064a \u0639\u0644\u0649 \u0646\u0637\u0627\u0642 \u0627\u0644\u0645\u0647\u0645\u0629\u060c \u0648\u062d\u062c\u0645 \u0648\u062c\u0648\u062f\u0629 \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0648\u0645\u0627 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0633\u062a\u062e\u062f\u0645 \u0646\u0645\u0627\u0630\u062c \u0645\u062f\u0631\u0628\u0629 \u0645\u0633\u0628\u0642\u064b\u0627. \u064a\u0645\u0643\u0646 \u062a\u062f\u0631\u064a\u0628 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u0628\u0633\u064a\u0637\u0629 \u0641\u064a \u063a\u0636\u0648\u0646 \u0623\u064a\u0627\u0645 \u0623\u0648 \u0623\u0633\u0627\u0628\u064a\u0639\u060c \u0628\u064a\u0646\u0645\u0627 \u062a\u0633\u062a\u063a\u0631\u0642 \u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0627\u0644\u0643\u0627\u0626\u0646\u0627\u062a \u0623\u0648 \u062a\u062c\u0632\u0626\u062a\u0647\u0627 \u0627\u0644\u0623\u0643\u062b\u0631 \u062a\u0639\u0642\u064a\u062f\u064b\u0627 \u0639\u0627\u062f\u0629\u064b \u0639\u062f\u0629 \u0623\u0633\u0627\u0628\u064a\u0639 \u0625\u0644\u0649 \u0634\u0647\u0648\u0631 \u0639\u0646\u062f \u0627\u062d\u062a\u0633\u0627\u0628 \u0625\u0639\u062f\u0627\u062f \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0648\u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0635\u062d\u062a\u0647\u0627 \u0648\u062a\u0643\u0631\u0627\u0631\u0647\u0627.<\/p> <\/div>
\u0645\u0627 \u0645\u0642\u062f\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0627\u062c\u0647\u0627 \u0644\u062a\u062f\u0631\u064a\u0628 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u061f<\/strong> \u0644\u0627 \u064a\u0648\u062c\u062f \u0639\u062f\u062f \u0645\u062d\u062f\u062f. \u0628\u0639\u0636 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u062a\u064f\u062d\u0642\u0642 \u0623\u062f\u0627\u0621\u064b \u062c\u064a\u062f\u064b\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0636\u0639\u0629 \u0622\u0644\u0627\u0641 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631 \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u062c\u0648\u062f\u0629\u060c \u062e\u0627\u0635\u0629\u064b \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u0628\u0627\u0644\u0646\u0642\u0644. \u0628\u064a\u0646\u0645\u0627 \u062a\u062a\u0637\u0644\u0628 \u0646\u0645\u0627\u0630\u062c \u0623\u062e\u0631\u0649 \u0639\u0634\u0631\u0627\u062a \u0623\u0648 \u0645\u0626\u0627\u062a \u0627\u0644\u0622\u0644\u0627\u0641 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631 \u0644\u0644\u062a\u0639\u0645\u064a\u0645 \u0628\u0634\u0643\u0644 \u0645\u0648\u062b\u0648\u0642. \u0627\u0644\u0623\u0647\u0645 \u0645\u0646 \u0627\u0644\u0643\u0645\u064a\u0629 \u0647\u0648 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u062a\u0639\u0643\u0633 \u0638\u0631\u0648\u0641 \u0627\u0644\u0639\u0627\u0644\u0645 \u0627\u0644\u062d\u0642\u064a\u0642\u064a \u0648\u0627\u0644\u062d\u0627\u0644\u0627\u062a \u0627\u0644\u0627\u0633\u062a\u062b\u0646\u0627\u0626\u064a\u0629.<\/p> <\/div>
\u0647\u0644 \u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u0628\u0646\u0627\u0621 \u0646\u0645\u0648\u0630\u062c \u0645\u0646 \u0627\u0644\u0635\u0641\u0631 \u0641\u064a \u0643\u0644 \u0645\u0631\u0629\u061f<\/strong> \u0644\u0627. \u0641\u064a \u0645\u0639\u0638\u0645 \u0627\u0644\u062d\u0627\u0644\u0627\u062a\u060c \u064a\u064f\u0639\u062f\u0651 \u0627\u0644\u0628\u062f\u0621 \u0628\u0646\u0645\u0648\u0630\u062c \u0645\u064f\u062f\u0631\u0651\u0628 \u0645\u0633\u0628\u0642\u064b\u0627 \u0627\u0644\u062e\u064a\u0627\u0631 \u0627\u0644\u0623\u0641\u0636\u0644. \u064a\u064f\u0642\u0644\u0651\u0644 \u0627\u0644\u062a\u0639\u0644\u0651\u0645 \u0628\u0627\u0644\u0646\u0642\u0644 \u0645\u0646 \u0648\u0642\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u060c \u0648\u064a\u064f\u062d\u0633\u0651\u0646 \u0627\u0644\u0623\u062f\u0627\u0621 \u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u062d\u062f\u0648\u062f\u0629\u060c \u0648\u064a\u064f\u062e\u0641\u0651\u0636 \u062a\u0643\u0627\u0644\u064a\u0641 \u0627\u0644\u0628\u0646\u064a\u0629 \u0627\u0644\u062a\u062d\u062a\u064a\u0629. \u0623\u0645\u0627 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0645\u0646 \u0627\u0644\u0635\u0641\u0631\u060c \u0641\u064a\u064f\u062e\u0635\u0651\u0635 \u0639\u0627\u062f\u0629\u064b \u0644\u0644\u0645\u062c\u0627\u0644\u0627\u062a \u0634\u062f\u064a\u062f\u0629 \u0627\u0644\u062a\u062e\u0635\u0635 \u0623\u0648 \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0636\u062e\u0645\u0629 \u062c\u062f\u064b\u0627.<\/p> <\/div>
\u0645\u0627 \u0647\u0648 \u0627\u0644\u0633\u0628\u0628 \u0627\u0644\u0623\u0643\u062b\u0631 \u0634\u064a\u0648\u0639\u0627\u064b \u0644\u0641\u0634\u0644 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u061f<\/strong> \u062a\u064f\u0639\u062f \u062c\u0648\u062f\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0631\u062f\u064a\u0626\u0629 \u0627\u0644\u0645\u0634\u0643\u0644\u0629 \u0627\u0644\u0623\u0643\u062b\u0631 \u0634\u064a\u0648\u0639\u0627\u064b. \u0641\u063a\u0627\u0644\u0628\u0627\u064b \u0645\u0627 \u062a\u062a\u0633\u0628\u0628 \u0627\u0644\u062a\u0635\u0646\u064a\u0641\u0627\u062a \u063a\u064a\u0631 \u0627\u0644\u0645\u062a\u0633\u0642\u0629\u060c \u0648\u0627\u0644\u062d\u0627\u0644\u0627\u062a \u0627\u0644\u0634\u0627\u0630\u0629 \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629\u060c \u0648\u0635\u0648\u0631 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u063a\u064a\u0631 \u0627\u0644\u0648\u0627\u0642\u0639\u064a\u0629\u060c \u0623\u0648 \u062a\u0633\u0631\u0628 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u064a\u0646 \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0641\u064a \u0623\u0636\u0631\u0627\u0631 \u0623\u0643\u0628\u0631 \u0645\u0646 \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0623\u0648 \u0625\u0639\u062f\u0627\u062f\u0627\u062a \u0627\u0644\u0645\u0639\u0644\u0645\u0627\u062a \u0627\u0644\u0641\u0627\u0626\u0642\u0629.<\/p> <\/div>
\u0643\u064a\u0641 \u062a\u0639\u0631\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u064a\u0639\u0627\u0646\u064a \u0645\u0646 \u0641\u0631\u0637 \u0627\u0644\u062a\u062e\u0635\u064a\u0635\u061f<\/strong> \u062a\u0638\u0647\u0631 \u0638\u0627\u0647\u0631\u0629 \u0627\u0644\u062a\u062c\u0627\u0648\u0632 \u0639\u0627\u062f\u0629\u064b \u0639\u0646\u062f\u0645\u0627 \u064a\u0633\u062a\u0645\u0631 \u0623\u062f\u0627\u0621 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0641\u064a \u0627\u0644\u062a\u062d\u0633\u0646 \u0628\u064a\u0646\u0645\u0627 \u064a\u062a\u0648\u0642\u0641 \u0623\u062f\u0627\u0621 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0644\u0635\u062d\u0629 \u0639\u0646 \u0627\u0644\u062a\u062d\u0633\u0646 \u0623\u0648 \u064a\u0628\u062f\u0623 \u0641\u064a \u0627\u0644\u062a\u0631\u0627\u062c\u0639. \u064a\u0634\u064a\u0631 \u0647\u0630\u0627 \u0625\u0644\u0649 \u0623\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u064a\u062a\u0639\u0644\u0645 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0628\u0634\u0643\u0644 \u0648\u062b\u064a\u0642 \u0644\u0644\u063a\u0627\u064a\u0629 \u0648\u064a\u0641\u0634\u0644 \u0641\u064a \u0627\u0644\u062a\u0639\u0645\u064a\u0645 \u0639\u0644\u0649 \u0635\u0648\u0631 \u062c\u062f\u064a\u062f\u0629.<\/p> <\/div> <\/div>\n\n\n\n
<\/p>","protected":false},"excerpt":{"rendered":"
Training an image recognition model is less about clever algorithms and more about getting the fundamentals right. Good data, clear labels, and a thoughtful training process matter far more than chasing the latest architecture. Skip any of those, and even the best model will struggle in the real world. This guide walks through how teams […]<\/p>\n","protected":false},"author":5,"featured_media":182571,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-182566","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles"],"acf":[],"yoast_head":"\n
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Transfer learning reduces training time, improves performance with limited data, and lowers infrastructure costs. Training from scratch is usually reserved for highly specialized domains or very large datasets.","inLanguage":"ar"},"inLanguage":"ar"},{"@type":"Question","@id":"https:\/\/flypix.ai\/how-to-train-image-recognition-model\/#faq-question-1772030184179","position":4,"url":"https:\/\/flypix.ai\/how-to-train-image-recognition-model\/#faq-question-1772030184179","name":"\u0645\u0627 \u0647\u0648 \u0627\u0644\u0633\u0628\u0628 \u0627\u0644\u0623\u0643\u062b\u0631 \u0634\u064a\u0648\u0639\u0627\u064b \u0644\u0641\u0634\u0644 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u061f","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Poor data quality is the most common issue. Inconsistent labels, missing edge cases, unrealistic training images, or data leakage between datasets often cause more damage than model choice or hyperparameter settings.","inLanguage":"ar"},"inLanguage":"ar"},{"@type":"Question","@id":"https:\/\/flypix.ai\/how-to-train-image-recognition-model\/#faq-question-1772030191114","position":5,"url":"https:\/\/flypix.ai\/how-to-train-image-recognition-model\/#faq-question-1772030191114","name":"\u0643\u064a\u0641 \u062a\u0639\u0631\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u064a\u0639\u0627\u0646\u064a \u0645\u0646 \u0641\u0631\u0637 \u0627\u0644\u062a\u062e\u0635\u064a\u0635\u061f","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Overfitting usually shows up when training performance keeps improving but validation performance stops improving or starts to decline. This indicates the model is learning the training data too closely and failing to generalize to new images.","inLanguage":"ar"},"inLanguage":"ar"}]}},"_links":{"self":[{"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/posts\/182566","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/comments?post=182566"}],"version-history":[{"count":2,"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/posts\/182566\/revisions"}],"predecessor-version":[{"id":182572,"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/posts\/182566\/revisions\/182572"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/media\/182571"}],"wp:attachment":[{"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/media?parent=182566"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/categories?post=182566"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/flypix.ai\/ar\/wp-json\/wp\/v2\/tags?post=182566"}],"curies":[{"name":"\u0648\u0648\u0631\u062f\u0628\u0631\u064a\u0633","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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