\ub370\uc774\ud130 \uc815\uc81c:<\/strong> \ubd88\ud544\uc694\ud55c \uc18d\uc131 \uc81c\uac70, \uc911\ubcf5 \uc81c\uac70 \ubc0f \uc815\ub82c \ub4f1\uc744 \ud1b5\ud574 \ub370\uc774\ud130\ub97c \uae68\ub057\ud558\uac8c \ub9cc\ub4ed\ub2c8\ub2e4.<\/li>\n<\/ul>\n1.1. \uacb0\uce21\uce58 \ucc98\ub9ac<\/h3>\n
\uacb0\uce21\uce58\ub294 \ub2e4\uc591\ud55c \uc6d0\uc778\uc73c\ub85c \ubc1c\uc0dd\ud560 \uc218 \uc788\uc73c\uba70, \uc774\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\ub3c4 \ub2e4\uc591\ud569\ub2c8\ub2e4. \uac00\uc7a5 \uc77c\ubc18\uc801\uc778 \ubc29\ubc95\uc73c\ub85c\ub294 \ud3c9\uade0\uac12 \ub610\ub294 \uc911\uc559\uac12\uc73c\ub85c \ub300\uccb4\ud558\ub294 \ubc29\ubc95,
\n\ub610\ub294 \uacb0\uce21\uce58\ub97c \uac00\uc9c4 \uc0d8\ud50c\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd \ub77c\uc774\ube0c\ub7ec\ub9ac\uc778 pandas<\/code>\uc640 numpy<\/code>\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc27d\uac8c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n1.2. \uc2a4\ucf00\uc77c \uc870\uc815<\/h3>\n
\uc2a4\ucf00\uc77c \uc870\uc815\uc740 \ud2b9\ud788 \uac70\ub9ac \uae30\ubc18 \uc54c\uace0\ub9ac\uc998\uc5d0\uc11c \uc911\uc694\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 KNN(K-Nearest Neighbors) \uc54c\uace0\ub9ac\uc998\uc5d0\uc11c\ub294 \uac70\ub9ac\ub97c \uae30\ubc18\uc73c\ub85c \ud074\ub7ec\uc2a4\ud130\ub97c \ud615\uc131\ud558\ubbc0\ub85c,
\n\ubcc0\uc218\uc758 \uc2a4\ucf00\uc77c\uc774 \ub2e4\ub974\uba74 \uc62c\ubc14\ub978 \uc608\uce21\uc744 \ud558\ub294 \ub370 \uc5b4\ub824\uc6c0\uc774 \ubc1c\uc0dd\ud569\ub2c8\ub2e4. Scikit-learn \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 StandardScaler<\/code>\uc640 MinMaxScaler<\/code>\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc27d\uac8c \uc870\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n1.3. \uc778\ucf54\ub529<\/h3>\n
\uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc740 \uc22b\uc790 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uc73c\ubbc0\ub85c, \ubc94\uc8fc\ud615 \ub370\uc774\ud130\ub97c \uc22b\uc790\ub85c \ubcc0\ud658\ud574\uc57c \ud569\ub2c8\ub2e4.
\n\uc6d0-\ud56b \uc778\ucf54\ub529 \ubc29\ubc95\uc740 \uac01 \ubc94\uc8fc\uc5d0 \ub300\ud574 \uc0c8\ub85c\uc6b4 \ubcc0\uc218\ub97c \uc0dd\uc131\ud558\uc5ec \ud574\ub2f9 \ubcc0\uc218\uac00 \uc874\uc7ac\ud558\ub294 \uacbd\uc6b0 1, \uc544\ub2c8\uba74 0\uc73c\ub85c \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n
1.4. \ub370\uc774\ud130 \uc815\uc81c<\/h3>\n
\ub370\uc774\ud130 \uc815\uc81c \uacfc\uc815\uc740 \ub370\uc774\ud130\uc14b\uc758 \uc77c\uad00\uc131\uacfc \ud488\uc9c8\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.
\n\uc911\ubcf5\ub41c \ub370\uc774\ud130\ub098 \uc798\ubabb\ub41c \uac12\uc744 \uc815\ub9ac\ud558\uc5ec \ubd84\uc11d \uacb0\uacfc\uc758 \uc815\ud655\uc131\uc744 \ub192\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc815\uc81c \ub2e8\uacc4\ub294 pandas<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 \ub2e4\uc591\ud55c \ud568\uc218\ub4e4\uc774 \uc9c0\uc6d0\ud569\ub2c8\ub2e4.<\/p>\n2. \ub370\uc774\ud130 \uc99d\uac15 \uae30\ubc95<\/h2>\n
\ub370\uc774\ud130 \uc99d\uac15\uc740 \uae30\uc874 \ub370\uc774\ud130\uc14b\uc744 \uae30\ubc18\uc73c\ub85c \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud558\uc5ec \ub370\uc774\ud130\uc758 \ub2e4\uc591\uc131\uc744 \ud655\ubcf4\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.
\n \uc774\ub294 \uc8fc\ub85c \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc5d0\uc11c \uc0ac\uc6a9\ub418\uba70, \ubaa8\ub378\uc774 \ub2e4\uc591\ud55c \uc0c1\ud669\uc5d0\uc11c \uc77c\ubc18\ud654\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4. \uc8fc\uc694 \ub370\uc774\ud130 \uc99d\uac15 \uae30\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- \ud68c\uc804(Rotation):<\/strong> \uc774\ubbf8\uc9c0\ub97c \ud2b9\uc815 \uac01\ub3c4\ub85c \ud68c\uc804\uc2dc\ucf1c \uc0c8\ub85c\uc6b4 \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n
- \ud06c\uae30 \uc870\uc815(Scaling):<\/strong> \uc774\ubbf8\uc9c0\uc758 \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\uc5ec \ub2e4\uc591\ud55c \ud574\uc0c1\ub3c4\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/li>\n
- \uc218\ud3c9 \ubc0f \uc218\uc9c1 \ub300\uce6d(Flipping):<\/strong> \uc774\ubbf8\uc9c0\ub97c \uc218\ud3c9 \ub610\ub294 \uc218\uc9c1\uc73c\ub85c \ub4a4\uc9d1\uc5b4 \uc0c8\ub85c\uc6b4 \uc774\ubbf8\uc9c0\ub97c \uc5bb\uc2b5\ub2c8\ub2e4.<\/li>\n
- \uc790\ub974\uae30(Cropping):<\/strong> \uc774\ubbf8\uc9c0\uc758 \uc77c\ubd80\ubd84\uc744 \uc798\ub77c\ub0b4\uc5b4 \uc0c8\ub85c\uc6b4 \uc0d8\ud50c\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n
- \uc0c9\uc0c1 \ubcc0\ud658(Color Jittering):<\/strong> \ubc1d\uae30, \ub300\ube44 \ubc0f \uc0c9\uc870\ub97c \uc870\uc815\ud558\uc5ec \uc774\ubbf8\uc9c0\uc758 \uc0c9\uc0c1\uc801 \ub2e4\uc591\uc131\uc744 \ub192\uc785\ub2c8\ub2e4.<\/li>\n
- \uc7a1\uc74c \ucd94\uac00(Adding Noise):<\/strong> \uc774\ubbf8\uc9c0\uc5d0 \ub79c\ub364\ud55c \uc7a1\uc74c\uc744 \ucd94\uac00\ud574 \ub370\uc774\ud130\ub97c \ubcc0\ud615\uc2dc\ud0b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
2.1. \ud68c\uc804 \ubc0f \ud06c\uae30 \uc870\uc815<\/h3>\n
\uc774\ubbf8\uc9c0\ub97c \ud68c\uc804\uc2dc\ud0a4\uac70\ub098 \ud06c\uae30\ub97c \uc870\uc815\ud568\uc73c\ub85c\uc368 \ubaa8\ub378\uc758 \uac15\uac74\uc131\uc744 \uc99d\uac00\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. TensorFlow\uc640 Keras \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 ImageDataGenerator<\/code> \ud074\ub798\uc2a4\ub97c \ud1b5\ud574 \uc774\ub7ec\ud55c \ubcc0\ud658\uc744
\n\uc27d\uac8c \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n2.2. \uc218\ud3c9 \ubc0f \uc218\uc9c1 \ub300\uce6d<\/h3>\n
\uc218\ud3c9 \ub300\uce6d\uc740 \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc14b\uc758 \uacbd\uc6b0 \ud658\uacbd\uc5d0 \ub530\ub77c \ubb3c\uccb4\uac00 \uc11c\ub85c \ub300\uce6d\uc744 \uc774\ub8f0 \uacbd\uc6b0 \ubaa8\ub378\uc774 \uc774\ub97c \uc798 \uc778\uc2dd\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4.<\/p>\n
2.3. \uc0c9\uc0c1 \ubcc0\ud658<\/h3>\n
\uc870\uba85\uc774\ub098 \ucd2c\uc601 \uc0c1\ud0dc\uc5d0 \ub530\ub77c \uc774\ubbf8\uc9c0\uc758 \uc0c9\uc774 \ub2e4\ub974\uac8c \ubcf4\uc77c \uc218 \uc788\uae30 \ub54c\ubb38\uc5d0 \uc0c9\uc0c1 \ubcc0\ud658\uc744 \ud1b5\ud574 \ub2e4\uc591\ud55c \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\uc5ec \ubaa8\ub378\uc758 \ud559\uc2b5\uc5d0 \uae30\uc5ec\ud569\ub2c8\ub2e4.<\/p>\n
3. \uc774\ubbf8\uc9c0 \uc99d\uac15 \ubc0f \ub178\uc774\uc988 \uc81c\uac70 \uae30\ubc95<\/h2>\n
\uc774\ubbf8\uc9c0 \ub370\uc774\ud130\ub294 \ubaa8\ub378 \ud559\uc2b5 \uacfc\uc815\uc5d0\uc11c \uc911\uc694\ud55c \uc694\uc18c\ub85c, \uc801\uc808\ud55c \ub370\uc774\ud130 \uc99d\uac15 \uae30\ubc95\uacfc \ub178\uc774\uc988 \uc81c\uac70 \uae30\ubc95\uc744 \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3.1. \uc774\ubbf8\uc9c0 \uc99d\uac15<\/h3>\n
\uc774\ubbf8\uc9c0 \uc99d\uac15\uc740 \uae30\ubcf8\uc801\uc73c\ub85c \ub2e4\uc591\ud55c \ubcc0\ud658\uc744 \ud1b5\ud574 \uc0dd\uc131\ub41c \uc774\ubbf8\uc9c0\ub85c \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4. Keras\uc758 ImageDataGenerator<\/code> \ud074\ub798\uc2a4\ub97c \uc0ac\uc6a9\ud558\uba74 \ucf54\ub4dc \uba87 \uc904\ub85c \uc27d\uac8c
\n\uc774\ub7ec\ud55c \ubcc0\ud658\uc744 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n\nfrom keras.preprocessing.image import ImageDataGenerator\n\ndatagen = ImageDataGenerator(rotation_range=40,\n width_shift_range=0.2,\n height_shift_range=0.2,\n shear_range=0.2,\n zoom_range=0.2,\n horizontal_flip=True,\n fill_mode='nearest')\n<\/pre>\n3.2. \ub178\uc774\uc988 \uc81c\uac70 \uae30\ubc95<\/h3>\n
\ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \uc885\uc885 \ub178\uc774\uc988\uac00 \ud3ec\ud568\ub41c \ub370\uc774\ud130\uc5d0 \ub300\ud574 \ubbfc\uac10\ud558\uac8c \ubc18\uc751\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c \ud559\uc2b5\ud558\uae30 \uc804\uc5d0 \ub178\uc774\uc988\ub97c \uc81c\uac70\ud558\ub294 \uac83\uc774 \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4.
\n\ub178\uc774\uc988 \uc81c\uac70\ub97c \uc704\ud574 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uba87 \uac00\uc9c0 \uae30\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- \uac00\uc6b0\uc2dc\uc548 \ud544\ud130(Gaussian Filter):<\/strong> \uc774\ubbf8\uc9c0\ub97c \ubd80\ub4dc\ub7fd\uac8c \ud558\uc5ec \ub178\uc774\uc988\ub97c \uc904\uc785\ub2c8\ub2e4.<\/li>\n
- \ubbf8\ub514\uc5b8 \ud544\ud130(Median Filter):<\/strong> \uc774\ubbf8\uc9c0\uc758 \uc911\uac04\uac12\uc744 \uacc4\uc0b0\ud558\uc5ec \ub178\uc774\uc988\ub97c \uc81c\uac70\ud569\ub2c8\ub2e4. \ud2b9\ud788 \uc18c\uae08\uacfc \ud6c4\ucd94 \ub178\uc774\uc988\uc5d0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/li>\n
- \ube44\ub4f1\ubc29\uc131 \ud655\uc0b0(Anisotropic Diffusion):<\/strong> \uc774\ubbf8\uc9c0 \ub0b4\uc758 \uac00\uc7a5\uc790\ub9ac\ub97c \uc720\uc9c0\ud558\uba74\uc11c \ub178\uc774\uc988\ub97c \uc904\uc774\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/li>\n
- \ucee8\ubcfc\ub8e8\uc158 \uc2e0\uacbd\ub9dd(CNN):<\/strong> \ud2b9\ud654\ub41c CNN \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ubbf8\uc9c0\ub97c \uc778\uc2dd\ud558\uc5ec \ub178\uc774\uc988\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
4. \uacf5\uac1c \ub370\uc774\ud130\uc14b<\/h2>\n
\ub370\uc774\ud130 \uc804\ucc98\ub9ac \ubc0f \uc99d\uac15 \uae30\ubc95\uc744 \uc704\ud55c \uacf5\uac1c \ub370\uc774\ud130\uc14b\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc0ac\uc774\ud2b8\uc5d0\uc11c \uc27d\uac8c \ucc3e\uc544\ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- Kaggle:<\/strong> \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc81c\uacf5\ud558\uba70, \ub300\ud68c \ucc38\uac00\ub97c \ud1b5\ud574 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc640 \uc99d\uac15 \uae30\ubc95\uc744 \uc2e4\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
- UCI \uba38\uc2e0\ub7ec\ub2dd \ub9ac\ud3ec\uc9c0\ud1a0\ub9ac:<\/strong> \ub2e4\uc591\ud55c \uc751\uc6a9 \ubd84\uc57c\uc758 \ub370\uc774\ud130\uc14b\uc744 \uc13c\uc11c \ubc0f \uce21\uc815 \ub370\uc774\ud130\ub97c \ud3ec\ud568\ud558\uc5ec \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/li>\n
- Open Images Dataset:<\/strong> \uc218\ubc31\ub9cc \uac1c\uc758 \uc8fc\uc11d\uc774 \uc788\ub294 \uac1c\uccb4 \uc774\ubbf8\uc9c0\uac00 \ud3ec\ud568\ub41c \ub300\uaddc\ubaa8 \uc774\ubbf8\uc9c0 \ub370\uc774\ud130\uc14b\uc785\ub2c8\ub2e4.<\/li>\n
- ImageNet:<\/strong> \ub2e4\uc591\ud55c \uac1c\uccb4 \uc778\uc2dd \ubc0f \uc774\ubbf8\uc9c0 \ubd84\ub958 \ud3c9\uac00\ub97c \uc704\ud574 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub370\uc774\ud130\uc14b\uc785\ub2c8\ub2e4.<\/li>\n
- COCO (Common Objects in Context):<\/strong> \uac1d\uccb4 \uac10\uc9c0 \ubc0f \uc138\ubd84\ud654 \uc791\uc5c5\uc744 \uc704\ud55c \ub300\uaddc\ubaa8 \uc774\ubbf8\uc9c0 \uc9d1\ud569\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n
5. \uacb0\ub860<\/h2>\n
\ub370\uc774\ud130 \uc804\ucc98\ub9ac\uc640 \uc99d\uac15 \uae30\ubc95\uc740 \ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub9e4\uc6b0 \uc911\uc694\ud55c \ub2e8\uacc4\uc785\ub2c8\ub2e4.
\n\ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub97c \ud1b5\ud574 \ubaa8\ub378\uc774 \ud559\uc2b5\ud558\uae30 \uc88b\uc740 \ub370\uc774\ud130\ub97c \ub9c8\ub828\ud558\uace0, \ub370\uc774\ud130 \uc99d\uac15\uc744 \ud1b5\ud574 \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \ub2a5\ub825\uc744 \ub192\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n\ucd94\uac00\uc801\uc73c\ub85c, \uc774\ubbf8\uc9c0\ub97c \ub2e4\ub8f0 \ub54c\uc758 \ub178\uc774\uc988 \uc81c\uac70 \uae30\ubc95\ub3c4 \ubb34\uc2dc\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4. \uc88b\uc740 \ud488\uc9c8\uc758 \ub370\uc774\ud130\ub294 \uacb0\uad6d \uc88b\uc740 \ubaa8\ub378\uc744 \ub9cc\ub4ed\ub2c8\ub2e4. <\/p>\n
\ub354 \ub098\uc544\uac00, \ub2e4\uc591\ud55c \uacf5\uac1c\ub41c \ub370\uc774\ud130\uc14b\uc744 \ud65c\uc6a9\ud558\uc5ec \uc790\uc2e0\uc758 \ub370\uc774\ud130\ub97c \ud655\uc7a5\ud558\uace0, \ub2e4\uc591\ud55c \uc804\ucc98\ub9ac \ubc0f \uc99d\uac15 \uae30\ubc95\uc744 \uc2e4\ud5d8\ud568\uc73c\ub85c\uc368
\n\ub354 \ub098\uc740 \uc131\ub2a5\uc744 \ubaa9\ud45c\ub85c \ud558\ub294 \uba38\uc2e0\ub7ec\ub2dd \ud504\ub85c\uc81d\ud2b8\ub97c \uc9c4\ud589\ud574 \ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
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