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\u062a\u062a\u062d\u0642\u0642 \u0627\u0644\u062c\u0627\u0647\u0632\u064a\u0629 \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u0629 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0642\u064a\u064a\u0645 \u0627\u0644\u0645\u0646\u0647\u062c\u064a \u0644\u0627 \u0627\u0644\u062a\u0641\u0633\u064a\u0631 \u0627\u0644\u0645\u062a\u0641\u0627\u0626\u0644. \u0648\u0647\u0630\u0627 \u064a\u0639\u0646\u064a \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631 \u0641\u064a \u0638\u0631\u0648\u0641 \u0648\u0627\u0642\u0639\u064a\u0629\u060c \u0648\u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0635\u062d\u0629 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u064a\u0627\u0646\u0627\u062a \u0644\u0645 \u064a\u0633\u0628\u0642 \u0644\u0647\u0627 \u0645\u062b\u064a\u0644\u060c \u0648\u0645\u0631\u0627\u0642\u0628\u0629 \u0627\u0644\u0623\u062f\u0627\u0621 \u0628\u0639\u062f \u0627\u0644\u0646\u0634\u0631. \u0625\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0630\u064a \u062a\u062a\u0645 \u0645\u0631\u0627\u0642\u0628\u062a\u0647 \u0648\u062a\u0639\u062f\u064a\u0644\u0647 \u0628\u0627\u0633\u062a\u0645\u0631\u0627\u0631 \u064a\u0643\u0648\u0646 \u0623\u0643\u062b\u0631 \u0645\u0648\u062b\u0648\u0642\u064a\u0629 \u0628\u0643\u062b\u064a\u0631 \u0645\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0630\u064a \u0628\u062f\u0627 \u0642\u0648\u064a\u064b\u0627 \u0639\u0646\u062f \u0627\u0644\u0625\u0637\u0644\u0627\u0642 \u0641\u0642\u0637.<\/p>\n\n\n\n
\u0627\u0644\u0623\u0641\u0643\u0627\u0631 \u0627\u0644\u0646\u0647\u0627\u0626\u064a\u0629<\/h2>\n\n\n\n
\u0644\u0627 \u064a\u062a\u0639\u0644\u0642 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u062f\u0642\u0629 \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631 \u0641\u064a \u0627\u0644\u0645\u0634\u0627\u0631\u064a\u0639 \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u0629 \u0628\u0625\u064a\u062c\u0627\u062f \u0623\u0639\u0644\u0649 \u0646\u062a\u064a\u062c\u0629\u060c \u0628\u0644 \u064a\u062a\u0639\u0644\u0642 \u0628\u0641\u0647\u0645 \u0643\u064a\u0641\u064a\u0629 \u062a\u0635\u0631\u0641 \u0627\u0644\u0646\u0638\u0627\u0645 \u0639\u0646\u062f \u062a\u062f\u062e\u0644 \u0627\u0644\u0648\u0627\u0642\u0639.<\/p>\n\n\n\n
\u0627\u0644\u0645\u0642\u0627\u064a\u064a\u0633 \u0623\u062f\u0648\u0627\u062a. \u0625\u0630\u0627 \u0627\u0633\u062a\u064f\u062e\u062f\u0645\u062a \u0628\u0639\u0646\u0627\u064a\u0629\u060c \u0641\u0625\u0646\u0647\u0627 \u062a\u0643\u0634\u0641 \u0646\u0642\u0627\u0637 \u0627\u0644\u0642\u0648\u0629 \u0648\u0627\u0644\u0636\u0639\u0641. \u0623\u0645\u0627 \u0625\u0630\u0627 \u0627\u0633\u062a\u064f\u062e\u062f\u0645\u062a \u0628\u0625\u0647\u0645\u0627\u0644\u060c \u0641\u0625\u0646\u0647\u0627 \u062a\u062e\u0644\u0642 \u062b\u0642\u0629\u064b \u062f\u0648\u0646 \u0645\u0648\u062b\u0648\u0642\u064a\u0629.<\/p>\n\n\n\n
\u0625\u0646 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0646\u0638\u0627\u0645 \u062a\u062c\u0631\u064a\u0628\u064a \u0648\u0646\u0638\u0627\u0645 \u0645\u0648\u062b\u0648\u0642 \u0644\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631 \u0644\u064a\u0633 \u0641\u064a \u0627\u0644\u0628\u0646\u064a\u0629\u060c \u0628\u0644 \u0641\u064a \u0643\u064a\u0641\u064a\u0629 \u0642\u064a\u0627\u0633 \u0627\u0644\u062f\u0642\u0629 \u0648\u0627\u062e\u062a\u0628\u0627\u0631\u0647\u0627 \u0648\u0627\u0644\u062d\u0641\u0627\u0638 \u0639\u0644\u064a\u0647\u0627 \u0628\u0645\u0635\u062f\u0627\u0642\u064a\u0629 \u0639\u0644\u0649 \u0645\u0631 \u0627\u0644\u0632\u0645\u0646.<\/p>\n\n\n\n
\u0627\u0644\u0623\u0633\u0626\u0644\u0629 \u0627\u0644\u0634\u0627\u0626\u0639\u0629<\/h2>\n\n\n\n\u0645\u0627 \u0647\u0648 \u0623\u0641\u0636\u0644 \u0645\u0642\u064a\u0627\u0633 \u0644\u0642\u064a\u0627\u0633 \u062f\u0642\u0629 \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u061f<\/strong> \u0644\u0627 \u064a\u0648\u062c\u062f \u0645\u0642\u064a\u0627\u0633 \u0648\u0627\u062d\u062f \u0645\u062b\u0627\u0644\u064a. \u0642\u062f \u062a\u0643\u0648\u0646 \u0627\u0644\u062f\u0642\u0629 \u0627\u0644\u0625\u062c\u0645\u0627\u0644\u064a\u0629 \u0645\u0641\u064a\u062f\u0629 \u0643\u0645\u0624\u0634\u0631 \u0633\u0631\u064a\u0639\u060c \u0644\u0643\u0646\u0647\u0627 \u0646\u0627\u062f\u0631\u064b\u0627 \u0645\u0627 \u062a\u0643\u0648\u0646 \u0643\u0627\u0641\u064a\u0629 \u0628\u0645\u0641\u0631\u062f\u0647\u0627. \u0641\u064a \u0627\u0644\u0645\u0634\u0627\u0631\u064a\u0639 \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u0629\u060c \u064a\u0646\u0628\u063a\u064a \u062a\u0642\u064a\u064a\u0645 \u0627\u0644\u062f\u0642\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0632\u064a\u062c \u0645\u0646 \u0627\u0644\u062f\u0642\u0629 \u0648\u0627\u0644\u0627\u0633\u062a\u062f\u0639\u0627\u0621 \u0648\u0645\u0642\u0627\u064a\u064a\u0633 \u062e\u0627\u0635\u0629 \u0628\u0627\u0644\u0645\u0647\u0645\u0629 \u0645\u062b\u0644 \u062a\u0642\u0627\u0637\u0639 \u0627\u0644\u0627\u062a\u062d\u0627\u062f (IoU) \u0623\u0648 \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u062f\u0642\u0629 (mAP) \u0644\u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0623\u062c\u0633\u0627\u0645. \u064a\u0639\u062a\u0645\u062f \u0627\u0644\u0645\u0632\u064a\u062c \u0627\u0644\u0623\u0645\u062b\u0644 \u0639\u0644\u0649 \u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0623\u062e\u0637\u0627\u0621 \u0627\u0644\u0623\u0643\u062b\u0631 \u0623\u0647\u0645\u064a\u0629 \u0641\u064a \u062d\u0627\u0644\u0629 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645.<\/p> <\/div>
\u0644\u0645\u0627\u0630\u0627 \u064a\u064f\u0638\u0647\u0631 \u0646\u0645\u0648\u0630\u062c\u064a \u062f\u0642\u0629 \u0639\u0627\u0644\u064a\u0629 \u0648\u0644\u0643\u0646\u0647 \u064a\u0624\u062f\u064a \u0623\u062f\u0627\u0621\u064b \u0636\u0639\u064a\u0641\u0627\u064b \u0641\u064a \u0627\u0644\u0625\u0646\u062a\u0627\u062c\u061f<\/strong> \u064a\u062d\u062f\u062b \u0647\u0630\u0627 \u0639\u0627\u062f\u0629\u064b \u0639\u0646\u062f\u0645\u0627 \u062a\u0643\u0648\u0646 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0642\u064a\u064a\u0645 \u0645\u0634\u0627\u0628\u0647\u0629 \u062c\u062f\u064b\u0627 \u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0623\u0648 \u0644\u0627 \u062a\u0639\u0643\u0633 \u0627\u0644\u0638\u0631\u0648\u0641 \u0627\u0644\u0648\u0627\u0642\u0639\u064a\u0629. \u0642\u062f \u062a\u0624\u062f\u064a \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0646\u0638\u064a\u0641\u0629\u060c \u0623\u0648 \u0627\u0644\u0628\u064a\u0626\u0627\u062a \u0627\u0644\u0645\u062d\u062f\u0648\u062f\u0629\u060c \u0623\u0648 \u062a\u0633\u0631\u0628 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u064a\u0646 \u0641\u062a\u0631\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0625\u0644\u0649 \u062a\u0636\u062e\u064a\u0645 \u062f\u0631\u062c\u0627\u062a \u0627\u0644\u062f\u0642\u0629. \u0628\u0645\u062c\u0631\u062f \u0623\u0646 \u064a\u0648\u0627\u062c\u0647 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0625\u0636\u0627\u0621\u0629 \u0623\u0648 \u0632\u0648\u0627\u064a\u0627 \u0623\u0648 \u0636\u0648\u0636\u0627\u0621 \u0623\u0648 \u0628\u064a\u0626\u0627\u062a \u062c\u062f\u064a\u062f\u0629\u060c \u062a\u0638\u0647\u0631 \u0646\u0642\u0627\u0637 \u0636\u0639\u0641 \u0644\u0645 \u064a\u062a\u0645 \u0627\u062e\u062a\u0628\u0627\u0631\u0647\u0627 \u0645\u0633\u0628\u0642\u064b\u0627.<\/p> <\/div>
\u0643\u064a\u0641 \u0623\u0639\u0631\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u062f\u0642\u0629 \u0623\u0645 \u0627\u0644\u0627\u0633\u062a\u062f\u0639\u0627\u0621 \u0623\u0643\u062b\u0631 \u0623\u0647\u0645\u064a\u0629 \u0644\u0645\u0634\u0631\u0648\u0639\u064a\u061f<\/strong> \u064a\u0639\u062a\u0645\u062f \u0627\u0644\u0623\u0645\u0631 \u0639\u0644\u0649 \u062a\u0643\u0644\u0641\u0629 \u0627\u0644\u0623\u062e\u0637\u0627\u0621. \u0641\u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0625\u064a\u062c\u0627\u0628\u064a\u0629 \u0627\u0644\u062e\u0627\u0637\u0626\u0629 \u062a\u0633\u062a\u062f\u0639\u064a \u0645\u0631\u0627\u062c\u0639\u0629 \u064a\u062f\u0648\u064a\u0629 \u0623\u0648 \u062a\u0646\u0628\u064a\u0647\u0627\u062a \u0623\u0648 \u0625\u062c\u0631\u0627\u0621\u0627\u062a \u0622\u0644\u064a\u0629\u060c \u062a\u0635\u0628\u062d \u0627\u0644\u062f\u0642\u0629 \u0623\u0643\u062b\u0631 \u0623\u0647\u0645\u064a\u0629. \u0623\u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629 \u062a\u064f\u0634\u0643\u0651\u0644 \u062e\u0637\u0631\u0627\u064b \u0623\u0648 \u0646\u0642\u0627\u0637 \u0636\u0639\u0641\u060c \u064a\u0635\u0628\u062d \u0627\u0644\u0627\u0633\u062a\u0631\u062c\u0627\u0639 \u0623\u0643\u062b\u0631 \u0623\u0647\u0645\u064a\u0629. \u062a\u062a\u0637\u0644\u0628 \u0645\u0639\u0638\u0645 \u0627\u0644\u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u0629 \u0645\u0648\u0627\u0632\u0646\u0629 \u0645\u062f\u0631\u0648\u0633\u0629 \u0628\u062f\u0644\u0627\u064b \u0645\u0646 \u062a\u062d\u0633\u064a\u0646 \u0645\u0642\u064a\u0627\u0633 \u0648\u0627\u062d\u062f \u0628\u0634\u0643\u0644 \u0623\u0639\u0645\u0649.<\/p> <\/div>
\u0647\u0644 \u062a\u0643\u0641\u064a \u062f\u0631\u062c\u0629 F1 \u0644\u062a\u0642\u064a\u064a\u0645 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u061f<\/strong> \u0644\u0627. \u064a\u064f\u0639\u062f\u0651 \u0645\u0642\u064a\u0627\u0633 F1 \u0645\u0641\u064a\u062f\u064b\u0627 \u0644\u0644\u0645\u0642\u0627\u0631\u0646\u0629\u060c \u0644\u0643\u0646\u0647 \u064a\u064f\u062e\u0641\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u0648\u0627\u0632\u0646 \u0627\u0644\u062f\u0642\u0629 \u0648\u0627\u0644\u0627\u0633\u062a\u062f\u0639\u0627\u0621. \u0642\u062f \u064a\u062a\u0635\u0631\u0641 \u0646\u0645\u0648\u0630\u062c\u0627\u0646 \u064a\u062d\u0645\u0644\u0627\u0646 \u0646\u0641\u0633 \u0645\u0642\u064a\u0627\u0633 F1 \u0628\u0634\u0643\u0644 \u0645\u062e\u062a\u0644\u0641 \u062a\u0645\u0627\u0645\u064b\u0627 \u0641\u064a \u0627\u0644\u0648\u0627\u0642\u0639. \u0644\u0630\u0627\u060c \u0627\u0646\u0638\u0631 \u062f\u0627\u0626\u0645\u064b\u0627 \u0625\u0644\u0649 \u0627\u0644\u062f\u0642\u0629 \u0648\u0627\u0644\u0627\u0633\u062a\u062f\u0639\u0627\u0621 \u0628\u0634\u0643\u0644 \u0645\u0646\u0641\u0635\u0644 \u0642\u0628\u0644 \u0627\u062a\u062e\u0627\u0630 \u0623\u064a \u0642\u0631\u0627\u0631.<\/p> <\/div>
\u0643\u0645 \u0645\u0631\u0629 \u064a\u0646\u0628\u063a\u064a \u0625\u0639\u0627\u062f\u0629 \u062a\u0642\u064a\u064a\u0645 \u062f\u0642\u0629 \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u061f<\/strong> \u064a\u0646\u0628\u063a\u064a \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u062f\u0642\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u0627\u0646\u062a\u0638\u0627\u0645 \u0628\u0639\u062f \u0627\u0644\u0646\u0634\u0631\u060c \u0648\u0644\u064a\u0633 \u0645\u0631\u0629 \u0648\u0627\u062d\u062f\u0629 \u0641\u0642\u0637. \u064a\u0639\u062a\u0645\u062f \u0627\u0644\u062a\u0648\u0627\u062a\u0631 \u0627\u0644\u0623\u0645\u062b\u0644 \u0639\u0644\u0649 \u0633\u0631\u0639\u0629 \u062a\u063a\u064a\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0648\u0644\u0643\u0646 \u064a\u062c\u0628 \u0645\u0631\u0627\u0642\u0628\u0629 \u0623\u064a \u0646\u0638\u0627\u0645 \u064a\u062a\u0639\u0631\u0636 \u0644\u0628\u064a\u0626\u0627\u062a \u0623\u0648 \u0641\u0635\u0648\u0644 \u0623\u0648 \u0623\u062c\u0647\u0632\u0629 \u062c\u062f\u064a\u062f\u0629 \u0628\u0627\u0633\u062a\u0645\u0631\u0627\u0631. \u064a\u064f\u0639\u062f\u0651 \u0627\u0644\u062a\u062f\u0647\u0648\u0631 \u0627\u0644\u0637\u0641\u064a\u0641 \u0641\u064a \u0627\u0644\u0623\u062f\u0627\u0621 \u0623\u0645\u0631\u064b\u0627 \u0634\u0627\u0626\u0639\u064b\u0627\u060c \u0648\u063a\u0627\u0644\u0628\u064b\u0627 \u0645\u0627 \u064a\u0645\u0631 \u062f\u0648\u0646 \u0645\u0644\u0627\u062d\u0638\u0629 \u062f\u0648\u0646 \u062a\u062a\u0628\u0639 \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a.<\/p> <\/div> <\/div>\n\n\n\n
<\/p>\n\n\n\n
<\/p>","protected":false},"excerpt":{"rendered":"
Image recognition models rarely fail because the architecture is wrong. They fail because accuracy is misunderstood, measured poorly, or checked in conditions that don\u2019t reflect reality. A model can look impressive during training and still fall apart the moment it meets real data. Checking image recognition accuracy is not about chasing a single score. It\u2019s […]<\/p>\n","protected":false},"author":5,"featured_media":182592,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-182588","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles"],"acf":[],"yoast_head":"\n
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Overall accuracy can be useful as a quick signal, but it is rarely enough on its own. In real projects, accuracy should be evaluated using a combination of precision, recall, and task-specific metrics like IoU or mAP for object detection. The right mix depends on what kinds of errors matter most in your use case.\",\"inLanguage\":\"ar\"},\"inLanguage\":\"ar\"},{\"@type\":\"Question\",\"@id\":\"https:\\\/\\\/flypix.ai\\\/how-to-check-image-recognition-accuracy\\\/#faq-question-1772090760502\",\"position\":2,\"url\":\"https:\\\/\\\/flypix.ai\\\/how-to-check-image-recognition-accuracy\\\/#faq-question-1772090760502\",\"name\":\"Why does my model show high accuracy but perform poorly in production?\",\"answerCount\":1,\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"This usually happens when evaluation data is too similar to training data or does not reflect real conditions. Clean images, limited environments, or data leakage between splits can inflate accuracy scores. 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Overall accuracy can be useful as a quick signal, but it is rarely enough on its own. In real projects, accuracy should be evaluated using a combination of precision, recall, and task-specific metrics like IoU or mAP for object detection. The right mix depends on what kinds of errors matter most in your use case.","inLanguage":"ar"},"inLanguage":"ar"},{"@type":"Question","@id":"https:\/\/flypix.ai\/how-to-check-image-recognition-accuracy\/#faq-question-1772090760502","position":2,"url":"https:\/\/flypix.ai\/how-to-check-image-recognition-accuracy\/#faq-question-1772090760502","name":"\u0644\u0645\u0627\u0630\u0627 \u064a\u064f\u0638\u0647\u0631 \u0646\u0645\u0648\u0630\u062c\u064a \u062f\u0642\u0629 \u0639\u0627\u0644\u064a\u0629 \u0648\u0644\u0643\u0646\u0647 \u064a\u0624\u062f\u064a \u0623\u062f\u0627\u0621\u064b \u0636\u0639\u064a\u0641\u0627\u064b \u0641\u064a \u0627\u0644\u0625\u0646\u062a\u0627\u062c\u061f","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"This usually happens when evaluation data is too similar to training data or does not reflect real conditions. Clean images, limited environments, or data leakage between splits can inflate accuracy scores. Once the model encounters new lighting, angles, noise, or environments, weaknesses appear that were never tested for.","inLanguage":"ar"},"inLanguage":"ar"},{"@type":"Question","@id":"https:\/\/flypix.ai\/how-to-check-image-recognition-accuracy\/#faq-question-1772090770073","position":3,"url":"https:\/\/flypix.ai\/how-to-check-image-recognition-accuracy\/#faq-question-1772090770073","name":"\u0643\u064a\u0641 \u0623\u0639\u0631\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u062f\u0642\u0629 \u0623\u0645 \u0627\u0644\u0627\u0633\u062a\u062f\u0639\u0627\u0621 \u0623\u0643\u062b\u0631 \u0623\u0647\u0645\u064a\u0629 \u0644\u0645\u0634\u0631\u0648\u0639\u064a\u061f","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"It depends on the cost of errors. If false positives trigger manual review, alerts, or automated actions, precision matters more. If missing objects creates risk or blind spots, recall is more important. Most real systems require a conscious trade-off rather than optimizing one metric blindly.","inLanguage":"ar"},"inLanguage":"ar"},{"@type":"Question","@id":"https:\/\/flypix.ai\/how-to-check-image-recognition-accuracy\/#faq-question-1772090780663","position":4,"url":"https:\/\/flypix.ai\/how-to-check-image-recognition-accuracy\/#faq-question-1772090780663","name":"\u0647\u0644 \u062a\u0643\u0641\u064a \u062f\u0631\u062c\u0629 F1 \u0644\u062a\u0642\u064a\u064a\u0645 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u061f","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"No. The F1 score is useful for comparison, but it hides how precision and recall are balanced. Two models with the same F1 score can behave very differently in practice. 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