{
  "id": 163278,
  "title": "Submission Error",
  "url": "/competitions/global-wheat-detection/discussion/163278",
  "author_name": "",
  "post_date": "2020-07-01T14:19:10.296582300Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi. \nI am trying to submit my file. i trained it on one of the popular notebooks. The submission table says my score is: <strong>Error</strong>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4064993%2F2be5883af15b59f21b25ddd01183e13e%2FWhatsApp%20Image%202020-07-01%20at%2017.05.53.jpeg?generation=1593612686655898&amp;alt=media\" alt=\"\"></p>\n\n<p>The CSV looks fine:\n| image_id  |PredictionString   |\n| --- | --- |\n| aac893a91 | 0.9961 556 521 129 200 0.9954 28 451 99 151 0.9948 739 769 80 117 0.9945 244 88 129 141 0.9938 359 538 93 77 0.9936 69 2 102 164 0.9917 612 923 80 97 0.9907 333 659 115 160 0.9883 588 775 108 122 0.9871 692 386 125 186 0.9855 460 862 79 92 0.9804 309 1 69 67 0.9772 178 557 111 201 0.9644 238 848 105 77 0.9603 816 656 102 254 0.9512 92 618 118 92 0.9334 64 858 115 69 0.9058 552 50 140 209 0.8345 820 933 125 89 0.8040 319 865 76 92 0.7640 164 1 86 146 0.6062 375 336 76 78 |\n| 51f1be19e|  0.9975 607 88 166 181 0.9953 765 887 156 101 0.9946 268 475 142 121 0.9929 495 470 214 110 0.9910 809 765 104 95 0.9909 836 258 138 211 0.9873 814 94 112 75 0.9782 700 918 83 87 0.9748 563 594 120 124 0.9738 249 122 97 110 0.9735 28 1 86 70 0.9659 330 130 121 186 0.9454 1 376 53 111 0.9449 57 687 136 227 0.9415 653 796 87 78 0.9398 663 582 106 95 0.9347 853 651 162 96 0.9335 191 935 111 87|\n|f5a1f0358| .9984 936 427 86 191 0.9968 687 208 115 90 0.9961 687 566 89 134 0.9952 601 731 103 87 0.9951 149 254 79 86 0.9948 543 278 107 108 0.9947 0 842 68 110 0.9939 553 406 73 92 0.9932 812 413 100 88 0.9909 211 317 129 97 0.9907 666 113 84 91 0.9878 131 750 176 134 0.9875 249 669 111 75 0.9861 273 457 182 106 0.9860 60 456 155 144 0.9746 226 563 154 108 0.9661 397 684 94 127 0.9642 412 175 68 67 0.9492 436 300 119 190 0.9425 748 578 113 144 0.9192 2 2 69 64 0.9172 410 792 195 105 0.9166 123 622 76 71 0.8571 527 2 102 103 0.8468 884 636 92 151|\n|796707dd7|0.9967 897 332 111 92 0.9946 501 789 97 91 0.9905 463 276 109 93 0.9902 620 42 82 75 0.9897 941 76 80 99 0.9861 375 639 103 116 0.9836 708 833 102 93 0.9827 1 453 70 72 0.9634 27 84 181 127 0.9274 349 1 92 63 0.8779 245 0 99 47 0.8348 197 477 143 104 0.7746 294 286 87 130 0.7220 92 799 111 82 0.5660 0 761 45 183 0.5183 0 753 47 105 0.5019 243 291 126 225|\n|51b3e36ab|0.9991 233 647 94 153 0.9978 0 919 85 105 0.9976 874 293 150 138 0.9974 7 824 97 99 0.9969 541 37 253 134 0.9968 365 163 100 90 0.9966 690 614 330 126 0.9964 488 362 323 127 0.9960 460 22 89 136 0.9953 417 939 89 84 0.9948 608 772 171 96 0.9946 445 323 150 98 0.9945 827 442 197 158 0.9941 1 438 99 345 0.9932 875 192 128 78 0.9930 119 853 139 88 0.9907 500 192 96 80 0.9907 336 465 85 150 0.9905 480 583 77 76 0.9899 701 819 272 121 0.9811 1 0 99 185 0.9670 393 429 90 74 0.9412 0 286 70 177 0.9197 859 721 86 72 0.8172 101 654 117 86|\n|348a992bb|0.9975 733 225 142 87 0.9975 600 449 119 96 0.9970 918 572 83 87 0.9968 3 319 116 96 0.9956 454 661 76 78 0.9955 539 41 79 92 0.9947 282 341 82 86 0.9942 760 121 129 86 0.9942 136 46 118 81 0.9940 0 477 134 94 0.9935 937 793 81 76 0.9928 408 517 82 86 0.9919 0 940 65 84 0.9911 859 853 77 67 0.9903 298 166 93 100 0.9897 378 222 85 80 0.9894 966 670 58 90 0.9888 497 961 125 63 0.9859 97 217 90 72 0.9849 374 860 100 112 0.9848 118 933 84 69 0.9834 472 533 78 92 0.9772 555 750 87 86 0.9733 730 485 62 71 0.9680 663 392 108 73 0.9638 144 606 68 60 0.9565 49 277 70 70 0.9354 661 46 111 110 0.9289 8 422 65 65 0.9008 503 721 99 69 0.8686 438 977 69 47 0.8370 478 841 70 79 0.8241 0 220 53 87 0.7229 744 986 124 38 0.6511 901 989 65 35|\n|cc3532ff6|0.9991 489 577 105 132 0.9989 472 404 130 153 0.9986 264 641 108 172 0.9978 911 127 111 92 0.9976 561 311 112 104 0.9975 762 832 179 163 0.9965 373 2 83 97 0.9965 551 835 134 172 0.9961 612 435 84 97 0.9957 92 611 91 145 0.9929 691 474 143 87 0.9928 70 801 146 179 0.9924 1 403 157 115 0.9862 957 7 66 80 0.9858 783 704 102 106 0.9843 718 301 111 99 0.9768 23 656 82 69 0.9764 409 224 83 81 0.9763 775 40 97 96 0.9724 14 346 107 72 0.9627 307 298 95 71 0.9569 274 843 117 78 0.9310 5 487 69 76 0.8282 0 779 46 67 0.5967 722 747 103 73 0.5902 766 4 80 102|\n|2fd875eaa|0.9985 537 871 106 120 0.9980 944 654 76 96 0.9978 0 742 89 102 0.9976 107 588 139 79 0.9974 891 56 107 86 0.9972 463 359 127 92 0.9971 394 794 74 86 0.9970 1 915 105 77 0.9969 1 1 106 76 0.9967 930 772 89 83 0.9964 911 887 71 90 0.9964 734 896 93 83 0.9959 454 497 88 136 0.9958 733 159 80 85 0.9941 122 849 81 68 0.9924 231 1 94 59 0.9917 424 68 107 73 0.9827 477 16 70 72 0.9805 92 0 130 59 0.9750 444 970 107 53 0.9717 110 37 103 71 0.9344 986 584 38 88 0.9229 791 724 103 79 0.9150 434 483 64 73|\n|cb8d261a3|0.9949 16 863 88 143 0.9926 591 40 79 82 0.9916 753 716 85 80 0.9900 899 179 97 113 0.9895 511 271 98 131 0.9892 653 680 94 72 0.9890 19 561 188 102 0.9886 433 121 107 74 0.9702 261 776 114 72 0.9653 444 462 111 101 0.9612 169 911 87 76 0.9606 459 817 78 76 0.9550 593 243 87 133 0.9520 832 153 81 132 0.9271 303 154 115 222 0.9214 0 802 44 76 0.9062 798 219 69 104 0.8633 530 523 102 57 0.6770 758 488 117 92 0.6138 448 923 211 100 0.6002 798 173 101 149|\n|53f253011|0.9991 929 200 95 141 0.9984 16 37 146 106 0.9983 20 598 123 145 0.9982 391 831 110 114 0.9973 303 69 98 125 0.9973 233 842 116 93 0.9972 469 463 154 203 0.9970 142 919 107 102 0.9969 0 401 99 115 0.9968 621 110 121 140 0.9967 924 815 100 208 0.9965 151 320 143 107 0.9963 784 641 113 101 0.9944 145 105 90 87 0.9940 448 171 122 120 0.9924 199 572 113 94 0.9917 290 619 132 90 0.9889 290 443 202 94 0.9850 904 747 78 84 0.9824 139 632 94 115 0.9816 357 350 159 88 0.9752 407 278 120 93 0.9743 525 399 82 71 0.9724 1 764 109 65 0.9700 601 701 117 136 0.9677 573 589 87 128 0.9671 605 336 131 185 0.9559 730 368 156 131|</p>\n\n<p>Any Idea?!</p>",
  "messages": [
    {
      "id": "911042",
      "postDate": "07/01/2020 14:19:10",
      "content": "<p>Hi. \nI am trying to submit my file. i trained it on one of the popular notebooks. The submission table says my score is: <strong>Error</strong>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4064993%2F2be5883af15b59f21b25ddd01183e13e%2FWhatsApp%20Image%202020-07-01%20at%2017.05.53.jpeg?generation=1593612686655898&amp;alt=media\" alt=\"\"></p>\n\n<p>The CSV looks fine:\n| image_id  |PredictionString   |\n| --- | --- |\n| aac893a91 | 0.9961 556 521 129 200 0.9954 28 451 99 151 0.9948 739 769 80 117 0.9945 244 88 129 141 0.9938 359 538 93 77 0.9936 69 2 102 164 0.9917 612 923 80 97 0.9907 333 659 115 160 0.9883 588 775 108 122 0.9871 692 386 125 186 0.9855 460 862 79 92 0.9804 309 1 69 67 0.9772 178 557 111 201 0.9644 238 848 105 77 0.9603 816 656 102 254 0.9512 92 618 118 92 0.9334 64 858 115 69 0.9058 552 50 140 209 0.8345 820 933 125 89 0.8040 319 865 76 92 0.7640 164 1 86 146 0.6062 375 336 76 78 |\n| 51f1be19e|  0.9975 607 88 166 181 0.9953 765 887 156 101 0.9946 268 475 142 121 0.9929 495 470 214 110 0.9910 809 765 104 95 0.9909 836 258 138 211 0.9873 814 94 112 75 0.9782 700 918 83 87 0.9748 563 594 120 124 0.9738 249 122 97 110 0.9735 28 1 86 70 0.9659 330 130 121 186 0.9454 1 376 53 111 0.9449 57 687 136 227 0.9415 653 796 87 78 0.9398 663 582 106 95 0.9347 853 651 162 96 0.9335 191 935 111 87|\n|f5a1f0358| .9984 936 427 86 191 0.9968 687 208 115 90 0.9961 687 566 89 134 0.9952 601 731 103 87 0.9951 149 254 79 86 0.9948 543 278 107 108 0.9947 0 842 68 110 0.9939 553 406 73 92 0.9932 812 413 100 88 0.9909 211 317 129 97 0.9907 666 113 84 91 0.9878 131 750 176 134 0.9875 249 669 111 75 0.9861 273 457 182 106 0.9860 60 456 155 144 0.9746 226 563 154 108 0.9661 397 684 94 127 0.9642 412 175 68 67 0.9492 436 300 119 190 0.9425 748 578 113 144 0.9192 2 2 69 64 0.9172 410 792 195 105 0.9166 123 622 76 71 0.8571 527 2 102 103 0.8468 884 636 92 151|\n|796707dd7|0.9967 897 332 111 92 0.9946 501 789 97 91 0.9905 463 276 109 93 0.9902 620 42 82 75 0.9897 941 76 80 99 0.9861 375 639 103 116 0.9836 708 833 102 93 0.9827 1 453 70 72 0.9634 27 84 181 127 0.9274 349 1 92 63 0.8779 245 0 99 47 0.8348 197 477 143 104 0.7746 294 286 87 130 0.7220 92 799 111 82 0.5660 0 761 45 183 0.5183 0 753 47 105 0.5019 243 291 126 225|\n|51b3e36ab|0.9991 233 647 94 153 0.9978 0 919 85 105 0.9976 874 293 150 138 0.9974 7 824 97 99 0.9969 541 37 253 134 0.9968 365 163 100 90 0.9966 690 614 330 126 0.9964 488 362 323 127 0.9960 460 22 89 136 0.9953 417 939 89 84 0.9948 608 772 171 96 0.9946 445 323 150 98 0.9945 827 442 197 158 0.9941 1 438 99 345 0.9932 875 192 128 78 0.9930 119 853 139 88 0.9907 500 192 96 80 0.9907 336 465 85 150 0.9905 480 583 77 76 0.9899 701 819 272 121 0.9811 1 0 99 185 0.9670 393 429 90 74 0.9412 0 286 70 177 0.9197 859 721 86 72 0.8172 101 654 117 86|\n|348a992bb|0.9975 733 225 142 87 0.9975 600 449 119 96 0.9970 918 572 83 87 0.9968 3 319 116 96 0.9956 454 661 76 78 0.9955 539 41 79 92 0.9947 282 341 82 86 0.9942 760 121 129 86 0.9942 136 46 118 81 0.9940 0 477 134 94 0.9935 937 793 81 76 0.9928 408 517 82 86 0.9919 0 940 65 84 0.9911 859 853 77 67 0.9903 298 166 93 100 0.9897 378 222 85 80 0.9894 966 670 58 90 0.9888 497 961 125 63 0.9859 97 217 90 72 0.9849 374 860 100 112 0.9848 118 933 84 69 0.9834 472 533 78 92 0.9772 555 750 87 86 0.9733 730 485 62 71 0.9680 663 392 108 73 0.9638 144 606 68 60 0.9565 49 277 70 70 0.9354 661 46 111 110 0.9289 8 422 65 65 0.9008 503 721 99 69 0.8686 438 977 69 47 0.8370 478 841 70 79 0.8241 0 220 53 87 0.7229 744 986 124 38 0.6511 901 989 65 35|\n|cc3532ff6|0.9991 489 577 105 132 0.9989 472 404 130 153 0.9986 264 641 108 172 0.9978 911 127 111 92 0.9976 561 311 112 104 0.9975 762 832 179 163 0.9965 373 2 83 97 0.9965 551 835 134 172 0.9961 612 435 84 97 0.9957 92 611 91 145 0.9929 691 474 143 87 0.9928 70 801 146 179 0.9924 1 403 157 115 0.9862 957 7 66 80 0.9858 783 704 102 106 0.9843 718 301 111 99 0.9768 23 656 82 69 0.9764 409 224 83 81 0.9763 775 40 97 96 0.9724 14 346 107 72 0.9627 307 298 95 71 0.9569 274 843 117 78 0.9310 5 487 69 76 0.8282 0 779 46 67 0.5967 722 747 103 73 0.5902 766 4 80 102|\n|2fd875eaa|0.9985 537 871 106 120 0.9980 944 654 76 96 0.9978 0 742 89 102 0.9976 107 588 139 79 0.9974 891 56 107 86 0.9972 463 359 127 92 0.9971 394 794 74 86 0.9970 1 915 105 77 0.9969 1 1 106 76 0.9967 930 772 89 83 0.9964 911 887 71 90 0.9964 734 896 93 83 0.9959 454 497 88 136 0.9958 733 159 80 85 0.9941 122 849 81 68 0.9924 231 1 94 59 0.9917 424 68 107 73 0.9827 477 16 70 72 0.9805 92 0 130 59 0.9750 444 970 107 53 0.9717 110 37 103 71 0.9344 986 584 38 88 0.9229 791 724 103 79 0.9150 434 483 64 73|\n|cb8d261a3|0.9949 16 863 88 143 0.9926 591 40 79 82 0.9916 753 716 85 80 0.9900 899 179 97 113 0.9895 511 271 98 131 0.9892 653 680 94 72 0.9890 19 561 188 102 0.9886 433 121 107 74 0.9702 261 776 114 72 0.9653 444 462 111 101 0.9612 169 911 87 76 0.9606 459 817 78 76 0.9550 593 243 87 133 0.9520 832 153 81 132 0.9271 303 154 115 222 0.9214 0 802 44 76 0.9062 798 219 69 104 0.8633 530 523 102 57 0.6770 758 488 117 92 0.6138 448 923 211 100 0.6002 798 173 101 149|\n|53f253011|0.9991 929 200 95 141 0.9984 16 37 146 106 0.9983 20 598 123 145 0.9982 391 831 110 114 0.9973 303 69 98 125 0.9973 233 842 116 93 0.9972 469 463 154 203 0.9970 142 919 107 102 0.9969 0 401 99 115 0.9968 621 110 121 140 0.9967 924 815 100 208 0.9965 151 320 143 107 0.9963 784 641 113 101 0.9944 145 105 90 87 0.9940 448 171 122 120 0.9924 199 572 113 94 0.9917 290 619 132 90 0.9889 290 443 202 94 0.9850 904 747 78 84 0.9824 139 632 94 115 0.9816 357 350 159 88 0.9752 407 278 120 93 0.9743 525 399 82 71 0.9724 1 764 109 65 0.9700 601 701 117 136 0.9677 573 589 87 128 0.9671 605 336 131 185 0.9559 730 368 156 131|</p>\n\n<p>Any Idea?!</p>",
      "rawMarkdown": "Hi. \nI am trying to submit my file. i trained it on one of the popular notebooks. The submission table says my score is: **Error**\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4064993%2F2be5883af15b59f21b25ddd01183e13e%2FWhatsApp%20Image%202020-07-01%20at%2017.05.53.jpeg?generation=1593612686655898&amp;alt=media)\n\nThe CSV looks fine:\n| image_id  |PredictionString   |\n| --- | --- |\n| aac893a91 | 0.9961 556 521 129 200 0.9954 28 451 99 151 0.9948 739 769 80 117 0.9945 244 88 129 141 0.9938 359 538 93 77 0.9936 69 2 102 164 0.9917 612 923 80 97 0.9907 333 659 115 160 0.9883 588 775 108 122 0.9871 692 386 125 186 0.9855 460 862 79 92 0.9804 309 1 69 67 0.9772 178 557 111 201 0.9644 238 848 105 77 0.9603 816 656 102 254 0.9512 92 618 118 92 0.9334 64 858 115 69 0.9058 552 50 140 209 0.8345 820 933 125 89 0.8040 319 865 76 92 0.7640 164 1 86 146 0.6062 375 336 76 78 |\n| 51f1be19e|  0.9975 607 88 166 181 0.9953 765 887 156 101 0.9946 268 475 142 121 0.9929 495 470 214 110 0.9910 809 765 104 95 0.9909 836 258 138 211 0.9873 814 94 112 75 0.9782 700 918 83 87 0.9748 563 594 120 124 0.9738 249 122 97 110 0.9735 28 1 86 70 0.9659 330 130 121 186 0.9454 1 376 53 111 0.9449 57 687 136 227 0.9415 653 796 87 78 0.9398 663 582 106 95 0.9347 853 651 162 96 0.9335 191 935 111 87|\n|f5a1f0358| .9984 936 427 86 191 0.9968 687 208 115 90 0.9961 687 566 89 134 0.9952 601 731 103 87 0.9951 149 254 79 86 0.9948 543 278 107 108 0.9947 0 842 68 110 0.9939 553 406 73 92 0.9932 812 413 100 88 0.9909 211 317 129 97 0.9907 666 113 84 91 0.9878 131 750 176 134 0.9875 249 669 111 75 0.9861 273 457 182 106 0.9860 60 456 155 144 0.9746 226 563 154 108 0.9661 397 684 94 127 0.9642 412 175 68 67 0.9492 436 300 119 190 0.9425 748 578 113 144 0.9192 2 2 69 64 0.9172 410 792 195 105 0.9166 123 622 76 71 0.8571 527 2 102 103 0.8468 884 636 92 151|\n|796707dd7|0.9967 897 332 111 92 0.9946 501 789 97 91 0.9905 463 276 109 93 0.9902 620 42 82 75 0.9897 941 76 80 99 0.9861 375 639 103 116 0.9836 708 833 102 93 0.9827 1 453 70 72 0.9634 27 84 181 127 0.9274 349 1 92 63 0.8779 245 0 99 47 0.8348 197 477 143 104 0.7746 294 286 87 130 0.7220 92 799 111 82 0.5660 0 761 45 183 0.5183 0 753 47 105 0.5019 243 291 126 225|\n|51b3e36ab|0.9991 233 647 94 153 0.9978 0 919 85 105 0.9976 874 293 150 138 0.9974 7 824 97 99 0.9969 541 37 253 134 0.9968 365 163 100 90 0.9966 690 614 330 126 0.9964 488 362 323 127 0.9960 460 22 89 136 0.9953 417 939 89 84 0.9948 608 772 171 96 0.9946 445 323 150 98 0.9945 827 442 197 158 0.9941 1 438 99 345 0.9932 875 192 128 78 0.9930 119 853 139 88 0.9907 500 192 96 80 0.9907 336 465 85 150 0.9905 480 583 77 76 0.9899 701 819 272 121 0.9811 1 0 99 185 0.9670 393 429 90 74 0.9412 0 286 70 177 0.9197 859 721 86 72 0.8172 101 654 117 86|\n|348a992bb|0.9975 733 225 142 87 0.9975 600 449 119 96 0.9970 918 572 83 87 0.9968 3 319 116 96 0.9956 454 661 76 78 0.9955 539 41 79 92 0.9947 282 341 82 86 0.9942 760 121 129 86 0.9942 136 46 118 81 0.9940 0 477 134 94 0.9935 937 793 81 76 0.9928 408 517 82 86 0.9919 0 940 65 84 0.9911 859 853 77 67 0.9903 298 166 93 100 0.9897 378 222 85 80 0.9894 966 670 58 90 0.9888 497 961 125 63 0.9859 97 217 90 72 0.9849 374 860 100 112 0.9848 118 933 84 69 0.9834 472 533 78 92 0.9772 555 750 87 86 0.9733 730 485 62 71 0.9680 663 392 108 73 0.9638 144 606 68 60 0.9565 49 277 70 70 0.9354 661 46 111 110 0.9289 8 422 65 65 0.9008 503 721 99 69 0.8686 438 977 69 47 0.8370 478 841 70 79 0.8241 0 220 53 87 0.7229 744 986 124 38 0.6511 901 989 65 35|\n|cc3532ff6|0.9991 489 577 105 132 0.9989 472 404 130 153 0.9986 264 641 108 172 0.9978 911 127 111 92 0.9976 561 311 112 104 0.9975 762 832 179 163 0.9965 373 2 83 97 0.9965 551 835 134 172 0.9961 612 435 84 97 0.9957 92 611 91 145 0.9929 691 474 143 87 0.9928 70 801 146 179 0.9924 1 403 157 115 0.9862 957 7 66 80 0.9858 783 704 102 106 0.9843 718 301 111 99 0.9768 23 656 82 69 0.9764 409 224 83 81 0.9763 775 40 97 96 0.9724 14 346 107 72 0.9627 307 298 95 71 0.9569 274 843 117 78 0.9310 5 487 69 76 0.8282 0 779 46 67 0.5967 722 747 103 73 0.5902 766 4 80 102|\n|2fd875eaa|0.9985 537 871 106 120 0.9980 944 654 76 96 0.9978 0 742 89 102 0.9976 107 588 139 79 0.9974 891 56 107 86 0.9972 463 359 127 92 0.9971 394 794 74 86 0.9970 1 915 105 77 0.9969 1 1 106 76 0.9967 930 772 89 83 0.9964 911 887 71 90 0.9964 734 896 93 83 0.9959 454 497 88 136 0.9958 733 159 80 85 0.9941 122 849 81 68 0.9924 231 1 94 59 0.9917 424 68 107 73 0.9827 477 16 70 72 0.9805 92 0 130 59 0.9750 444 970 107 53 0.9717 110 37 103 71 0.9344 986 584 38 88 0.9229 791 724 103 79 0.9150 434 483 64 73|\n|cb8d261a3|0.9949 16 863 88 143 0.9926 591 40 79 82 0.9916 753 716 85 80 0.9900 899 179 97 113 0.9895 511 271 98 131 0.9892 653 680 94 72 0.9890 19 561 188 102 0.9886 433 121 107 74 0.9702 261 776 114 72 0.9653 444 462 111 101 0.9612 169 911 87 76 0.9606 459 817 78 76 0.9550 593 243 87 133 0.9520 832 153 81 132 0.9271 303 154 115 222 0.9214 0 802 44 76 0.9062 798 219 69 104 0.8633 530 523 102 57 0.6770 758 488 117 92 0.6138 448 923 211 100 0.6002 798 173 101 149|\n|53f253011|0.9991 929 200 95 141 0.9984 16 37 146 106 0.9983 20 598 123 145 0.9982 391 831 110 114 0.9973 303 69 98 125 0.9973 233 842 116 93 0.9972 469 463 154 203 0.9970 142 919 107 102 0.9969 0 401 99 115 0.9968 621 110 121 140 0.9967 924 815 100 208 0.9965 151 320 143 107 0.9963 784 641 113 101 0.9944 145 105 90 87 0.9940 448 171 122 120 0.9924 199 572 113 94 0.9917 290 619 132 90 0.9889 290 443 202 94 0.9850 904 747 78 84 0.9824 139 632 94 115 0.9816 357 350 159 88 0.9752 407 278 120 93 0.9743 525 399 82 71 0.9724 1 764 109 65 0.9700 601 701 117 136 0.9677 573 589 87 128 0.9671 605 336 131 185 0.9559 730 368 156 131|\n\nAny Idea?!",
      "votes": null
    },
    {
      "id": "911165",
      "postDate": "07/01/2020 15:43:23",
      "content": "<p>Could be that you dont perform inference on the entire test set, or perhaps you have no predictions for an image in which case it should be a blank string.</p>\n\n<p>Look here for more suggestions:\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/148873\">Tips to solve submission error</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/149809\">Submission csv not found</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/149847\">Submission CSV Not Found</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/149871\">Submission scoring error/submission CSV not found</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/149949\">Test images are not all 1024px by 1024px</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/155100\">confusion about submission scoring errors</a></p>",
      "rawMarkdown": "Could be that you dont perform inference on the entire test set, or perhaps you have no predictions for an image in which case it should be a blank string.\n\nLook here for more suggestions:\n- [Tips to solve submission error](https://www.kaggle.com/c/global-wheat-detection/discussion/148873)\n- [Submission csv not found](https://www.kaggle.com/c/global-wheat-detection/discussion/149809)\n- [Submission CSV Not Found](https://www.kaggle.com/c/global-wheat-detection/discussion/149847)\n- [Submission scoring error/submission CSV not found](https://www.kaggle.com/c/global-wheat-detection/discussion/149871)\n- [Test images are not all 1024px by 1024px](https://www.kaggle.com/c/global-wheat-detection/discussion/149949)\n- [confusion about submission scoring errors](https://www.kaggle.com/c/global-wheat-detection/discussion/155100)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 911165,
      "author_name": "matthewmasters",
      "author_url": "",
      "post_date": "07/01/2020 15:43:23",
      "content": "<p>Could be that you dont perform inference on the entire test set, or perhaps you have no predictions for an image in which case it should be a blank string.</p>\n\n<p>Look here for more suggestions:\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/148873\">Tips to solve submission error</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/149809\">Submission csv not found</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/149847\">Submission CSV Not Found</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/149871\">Submission scoring error/submission CSV not found</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/149949\">Test images are not all 1024px by 1024px</a>\n- <a href=\"https://www.kaggle.com/c/global-wheat-detection/discussion/155100\">confusion about submission scoring errors</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "911042": "Hi. \nI am trying to submit my file. i trained it on one of the popular notebooks. The submission table says my score is: **Error**\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4064993%2F2be5883af15b59f21b25ddd01183e13e%2FWhatsApp%20Image%202020-07-01%20at%2017.05.53.jpeg?generation=1593612686655898&amp;alt=media)\n\nThe CSV looks fine:\n| image_id  |PredictionString   |\n| --- | --- |\n| aac893a91 | 0.9961 556 521 129 200 0.9954 28 451 99 151 0.9948 739 769 80 117 0.9945 244 88 129 141 0.9938 359 538 93 77 0.9936 69 2 102 164 0.9917 612 923 80 97 0.9907 333 659 115 160 0.9883 588 775 108 122 0.9871 692 386 125 186 0.9855 460 862 79 92 0.9804 309 1 69 67 0.9772 178 557 111 201 0.9644 238 848 105 77 0.9603 816 656 102 254 0.9512 92 618 118 92 0.9334 64 858 115 69 0.9058 552 50 140 209 0.8345 820 933 125 89 0.8040 319 865 76 92 0.7640 164 1 86 146 0.6062 375 336 76 78 |\n| 51f1be19e|  0.9975 607 88 166 181 0.9953 765 887 156 101 0.9946 268 475 142 121 0.9929 495 470 214 110 0.9910 809 765 104 95 0.9909 836 258 138 211 0.9873 814 94 112 75 0.9782 700 918 83 87 0.9748 563 594 120 124 0.9738 249 122 97 110 0.9735 28 1 86 70 0.9659 330 130 121 186 0.9454 1 376 53 111 0.9449 57 687 136 227 0.9415 653 796 87 78 0.9398 663 582 106 95 0.9347 853 651 162 96 0.9335 191 935 111 87|\n|f5a1f0358| .9984 936 427 86 191 0.9968 687 208 115 90 0.9961 687 566 89 134 0.9952 601 731 103 87 0.9951 149 254 79 86 0.9948 543 278 107 108 0.9947 0 842 68 110 0.9939 553 406 73 92 0.9932 812 413 100 88 0.9909 211 317 129 97 0.9907 666 113 84 91 0.9878 131 750 176 134 0.9875 249 669 111 75 0.9861 273 457 182 106 0.9860 60 456 155 144 0.9746 226 563 154 108 0.9661 397 684 94 127 0.9642 412 175 68 67 0.9492 436 300 119 190 0.9425 748 578 113 144 0.9192 2 2 69 64 0.9172 410 792 195 105 0.9166 123 622 76 71 0.8571 527 2 102 103 0.8468 884 636 92 151|\n|796707dd7|0.9967 897 332 111 92 0.9946 501 789 97 91 0.9905 463 276 109 93 0.9902 620 42 82 75 0.9897 941 76 80 99 0.9861 375 639 103 116 0.9836 708 833 102 93 0.9827 1 453 70 72 0.9634 27 84 181 127 0.9274 349 1 92 63 0.8779 245 0 99 47 0.8348 197 477 143 104 0.7746 294 286 87 130 0.7220 92 799 111 82 0.5660 0 761 45 183 0.5183 0 753 47 105 0.5019 243 291 126 225|\n|51b3e36ab|0.9991 233 647 94 153 0.9978 0 919 85 105 0.9976 874 293 150 138 0.9974 7 824 97 99 0.9969 541 37 253 134 0.9968 365 163 100 90 0.9966 690 614 330 126 0.9964 488 362 323 127 0.9960 460 22 89 136 0.9953 417 939 89 84 0.9948 608 772 171 96 0.9946 445 323 150 98 0.9945 827 442 197 158 0.9941 1 438 99 345 0.9932 875 192 128 78 0.9930 119 853 139 88 0.9907 500 192 96 80 0.9907 336 465 85 150 0.9905 480 583 77 76 0.9899 701 819 272 121 0.9811 1 0 99 185 0.9670 393 429 90 74 0.9412 0 286 70 177 0.9197 859 721 86 72 0.8172 101 654 117 86|\n|348a992bb|0.9975 733 225 142 87 0.9975 600 449 119 96 0.9970 918 572 83 87 0.9968 3 319 116 96 0.9956 454 661 76 78 0.9955 539 41 79 92 0.9947 282 341 82 86 0.9942 760 121 129 86 0.9942 136 46 118 81 0.9940 0 477 134 94 0.9935 937 793 81 76 0.9928 408 517 82 86 0.9919 0 940 65 84 0.9911 859 853 77 67 0.9903 298 166 93 100 0.9897 378 222 85 80 0.9894 966 670 58 90 0.9888 497 961 125 63 0.9859 97 217 90 72 0.9849 374 860 100 112 0.9848 118 933 84 69 0.9834 472 533 78 92 0.9772 555 750 87 86 0.9733 730 485 62 71 0.9680 663 392 108 73 0.9638 144 606 68 60 0.9565 49 277 70 70 0.9354 661 46 111 110 0.9289 8 422 65 65 0.9008 503 721 99 69 0.8686 438 977 69 47 0.8370 478 841 70 79 0.8241 0 220 53 87 0.7229 744 986 124 38 0.6511 901 989 65 35|\n|cc3532ff6|0.9991 489 577 105 132 0.9989 472 404 130 153 0.9986 264 641 108 172 0.9978 911 127 111 92 0.9976 561 311 112 104 0.9975 762 832 179 163 0.9965 373 2 83 97 0.9965 551 835 134 172 0.9961 612 435 84 97 0.9957 92 611 91 145 0.9929 691 474 143 87 0.9928 70 801 146 179 0.9924 1 403 157 115 0.9862 957 7 66 80 0.9858 783 704 102 106 0.9843 718 301 111 99 0.9768 23 656 82 69 0.9764 409 224 83 81 0.9763 775 40 97 96 0.9724 14 346 107 72 0.9627 307 298 95 71 0.9569 274 843 117 78 0.9310 5 487 69 76 0.8282 0 779 46 67 0.5967 722 747 103 73 0.5902 766 4 80 102|\n|2fd875eaa|0.9985 537 871 106 120 0.9980 944 654 76 96 0.9978 0 742 89 102 0.9976 107 588 139 79 0.9974 891 56 107 86 0.9972 463 359 127 92 0.9971 394 794 74 86 0.9970 1 915 105 77 0.9969 1 1 106 76 0.9967 930 772 89 83 0.9964 911 887 71 90 0.9964 734 896 93 83 0.9959 454 497 88 136 0.9958 733 159 80 85 0.9941 122 849 81 68 0.9924 231 1 94 59 0.9917 424 68 107 73 0.9827 477 16 70 72 0.9805 92 0 130 59 0.9750 444 970 107 53 0.9717 110 37 103 71 0.9344 986 584 38 88 0.9229 791 724 103 79 0.9150 434 483 64 73|\n|cb8d261a3|0.9949 16 863 88 143 0.9926 591 40 79 82 0.9916 753 716 85 80 0.9900 899 179 97 113 0.9895 511 271 98 131 0.9892 653 680 94 72 0.9890 19 561 188 102 0.9886 433 121 107 74 0.9702 261 776 114 72 0.9653 444 462 111 101 0.9612 169 911 87 76 0.9606 459 817 78 76 0.9550 593 243 87 133 0.9520 832 153 81 132 0.9271 303 154 115 222 0.9214 0 802 44 76 0.9062 798 219 69 104 0.8633 530 523 102 57 0.6770 758 488 117 92 0.6138 448 923 211 100 0.6002 798 173 101 149|\n|53f253011|0.9991 929 200 95 141 0.9984 16 37 146 106 0.9983 20 598 123 145 0.9982 391 831 110 114 0.9973 303 69 98 125 0.9973 233 842 116 93 0.9972 469 463 154 203 0.9970 142 919 107 102 0.9969 0 401 99 115 0.9968 621 110 121 140 0.9967 924 815 100 208 0.9965 151 320 143 107 0.9963 784 641 113 101 0.9944 145 105 90 87 0.9940 448 171 122 120 0.9924 199 572 113 94 0.9917 290 619 132 90 0.9889 290 443 202 94 0.9850 904 747 78 84 0.9824 139 632 94 115 0.9816 357 350 159 88 0.9752 407 278 120 93 0.9743 525 399 82 71 0.9724 1 764 109 65 0.9700 601 701 117 136 0.9677 573 589 87 128 0.9671 605 336 131 185 0.9559 730 368 156 131|\n\nAny Idea?!",
    "911165": "Could be that you dont perform inference on the entire test set, or perhaps you have no predictions for an image in which case it should be a blank string.\n\nLook here for more suggestions:\n- [Tips to solve submission error](https://www.kaggle.com/c/global-wheat-detection/discussion/148873)\n- [Submission csv not found](https://www.kaggle.com/c/global-wheat-detection/discussion/149809)\n- [Submission CSV Not Found](https://www.kaggle.com/c/global-wheat-detection/discussion/149847)\n- [Submission scoring error/submission CSV not found](https://www.kaggle.com/c/global-wheat-detection/discussion/149871)\n- [Test images are not all 1024px by 1024px](https://www.kaggle.com/c/global-wheat-detection/discussion/149949)\n- [confusion about submission scoring errors](https://www.kaggle.com/c/global-wheat-detection/discussion/155100)"
  },
  "source": "meta"
}