Shanshan Wang
commited on
Commit
•
5c51e60
1
Parent(s):
7aadde7
updated default view and the model name
Browse files- 0926-OCRBench-opensource.csv +2 -932
- app.py +3 -3
0926-OCRBench-opensource.csv
CHANGED
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@@ -12,7 +12,7 @@ Rank,Model,Param (B),Language Model,Vision Model,OCRBench,Text Recognition,Scene
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17,WeMM,7,InternLM2-7B,SigLIP-400M,,,,,,,
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18,IDEFICS2-8B,8,Mistral-7B,SigLIP-400M,,,,,,,
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19,Cambrian-8B,8,Vicuna-v1.5-7B,CLIP ViT-L/14,,,,,,,
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,H2OVL-Mississippi-
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14,Mini-InternVL-Chat-2B-V1.5,2,InternLM2-1.8B,InternViT-300M,652,222,161,126,139,4,
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15,Mini-InternVL-Chat-4B-V1.5,4,Phi-3,InternViT-300M,640,193,160,146,135,6,
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20,PaliGemma-3B-mix-448,3,Gemma-2B,SigLIP-400M,613,242,165,88,118,0,
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@@ -23,934 +23,4 @@ Rank,Model,Param (B),Language Model,Vision Model,OCRBench,Text Recognition,Scene
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,Qwen2-VL-2B-Instruct,2.1,Qwen2-1.5B,ViT-600M,812,265,172,146,174,55,
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,GOT-OCR2.0,0.6,,,622,245,99,83,164,31,
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,doctr-default,0.05,,,,177,,,,,
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|
| 588 |
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| 589 |
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|
| 590 |
-
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|
| 591 |
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|
| 592 |
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|
| 593 |
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| 594 |
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| 595 |
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|
| 596 |
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|
| 597 |
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|
| 598 |
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| 599 |
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| 600 |
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|
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|
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| 610 |
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| 611 |
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| 612 |
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| 615 |
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| 617 |
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|
| 618 |
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|
| 619 |
-
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|
| 620 |
-
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|
| 621 |
-
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|
| 622 |
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|
| 623 |
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|
| 624 |
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|
| 625 |
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|
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-
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|
| 627 |
-
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|
| 628 |
-
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|
| 629 |
-
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|
| 630 |
-
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|
| 631 |
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|
| 632 |
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|
| 633 |
-
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|
| 634 |
-
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|
| 635 |
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|
| 636 |
-
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|
| 637 |
-
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|
| 638 |
-
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|
| 639 |
-
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|
| 640 |
-
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|
| 641 |
-
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|
| 642 |
-
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|
| 643 |
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|
| 644 |
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|
| 645 |
-
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|
| 646 |
-
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|
| 647 |
-
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|
| 648 |
-
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|
| 649 |
-
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|
| 650 |
-
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|
| 651 |
-
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|
| 652 |
-
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|
| 653 |
-
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|
| 654 |
-
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|
| 655 |
-
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|
| 656 |
-
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|
| 657 |
-
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|
| 658 |
-
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|
| 659 |
-
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|
| 660 |
-
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|
| 661 |
-
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|
| 662 |
-
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|
| 663 |
-
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|
| 664 |
-
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|
| 665 |
-
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|
| 666 |
-
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|
| 667 |
-
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|
| 668 |
-
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|
| 669 |
-
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|
| 670 |
-
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|
| 671 |
-
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|
| 672 |
-
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|
| 673 |
-
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|
| 674 |
-
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|
| 675 |
-
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|
| 676 |
-
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|
| 677 |
-
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|
| 678 |
-
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|
| 679 |
-
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|
| 680 |
-
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|
| 681 |
-
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|
| 682 |
-
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|
| 683 |
-
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|
| 684 |
-
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|
| 685 |
-
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|
| 686 |
-
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|
| 687 |
-
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|
| 688 |
-
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|
| 689 |
-
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|
| 690 |
-
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|
| 691 |
-
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|
| 692 |
-
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|
| 693 |
-
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|
| 694 |
-
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|
| 695 |
-
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|
| 696 |
-
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|
| 697 |
-
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|
| 698 |
-
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|
| 699 |
-
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|
| 700 |
-
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|
| 701 |
-
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|
| 702 |
-
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|
| 703 |
-
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|
| 704 |
-
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|
| 705 |
-
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|
| 706 |
-
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|
| 707 |
-
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|
| 708 |
-
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|
| 709 |
-
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|
| 710 |
-
,,,,,,,,,,,
|
| 711 |
-
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|
| 712 |
-
,,,,,,,,,,,
|
| 713 |
-
,,,,,,,,,,,
|
| 714 |
-
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|
| 715 |
-
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|
| 716 |
-
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|
| 717 |
-
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|
| 718 |
-
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|
| 719 |
-
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|
| 720 |
-
,,,,,,,,,,,
|
| 721 |
-
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|
| 722 |
-
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|
| 723 |
-
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|
| 724 |
-
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|
| 725 |
-
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|
| 726 |
-
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|
| 727 |
-
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|
| 728 |
-
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|
| 729 |
-
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|
| 730 |
-
,,,,,,,,,,,
|
| 731 |
-
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|
| 732 |
-
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|
| 733 |
-
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|
| 734 |
-
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|
| 735 |
-
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|
| 736 |
-
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|
| 737 |
-
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|
| 738 |
-
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|
| 739 |
-
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|
| 740 |
-
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|
| 741 |
-
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|
| 742 |
-
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|
| 743 |
-
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|
| 744 |
-
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|
| 745 |
-
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|
| 746 |
-
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|
| 747 |
-
,,,,,,,,,,,
|
| 748 |
-
,,,,,,,,,,,
|
| 749 |
-
,,,,,,,,,,,
|
| 750 |
-
,,,,,,,,,,,
|
| 751 |
-
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|
| 752 |
-
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|
| 753 |
-
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|
| 754 |
-
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|
| 755 |
-
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|
| 756 |
-
,,,,,,,,,,,
|
| 757 |
-
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|
| 758 |
-
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|
| 759 |
-
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|
| 760 |
-
,,,,,,,,,,,
|
| 761 |
-
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|
| 762 |
-
,,,,,,,,,,,
|
| 763 |
-
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|
| 764 |
-
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|
| 765 |
-
,,,,,,,,,,,
|
| 766 |
-
,,,,,,,,,,,
|
| 767 |
-
,,,,,,,,,,,
|
| 768 |
-
,,,,,,,,,,,
|
| 769 |
-
,,,,,,,,,,,
|
| 770 |
-
,,,,,,,,,,,
|
| 771 |
-
,,,,,,,,,,,
|
| 772 |
-
,,,,,,,,,,,
|
| 773 |
-
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|
| 774 |
-
,,,,,,,,,,,
|
| 775 |
-
,,,,,,,,,,,
|
| 776 |
-
,,,,,,,,,,,
|
| 777 |
-
,,,,,,,,,,,
|
| 778 |
-
,,,,,,,,,,,
|
| 779 |
-
,,,,,,,,,,,
|
| 780 |
-
,,,,,,,,,,,
|
| 781 |
-
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|
| 782 |
-
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|
| 783 |
-
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|
| 784 |
-
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|
| 785 |
-
,,,,,,,,,,,
|
| 786 |
-
,,,,,,,,,,,
|
| 787 |
-
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|
| 788 |
-
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|
| 789 |
-
,,,,,,,,,,,
|
| 790 |
-
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|
| 791 |
-
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|
| 792 |
-
,,,,,,,,,,,
|
| 793 |
-
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|
| 794 |
-
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|
| 795 |
-
,,,,,,,,,,,
|
| 796 |
-
,,,,,,,,,,,
|
| 797 |
-
,,,,,,,,,,,
|
| 798 |
-
,,,,,,,,,,,
|
| 799 |
-
,,,,,,,,,,,
|
| 800 |
-
,,,,,,,,,,,
|
| 801 |
-
,,,,,,,,,,,
|
| 802 |
-
,,,,,,,,,,,
|
| 803 |
-
,,,,,,,,,,,
|
| 804 |
-
,,,,,,,,,,,
|
| 805 |
-
,,,,,,,,,,,
|
| 806 |
-
,,,,,,,,,,,
|
| 807 |
-
,,,,,,,,,,,
|
| 808 |
-
,,,,,,,,,,,
|
| 809 |
-
,,,,,,,,,,,
|
| 810 |
-
,,,,,,,,,,,
|
| 811 |
-
,,,,,,,,,,,
|
| 812 |
-
,,,,,,,,,,,
|
| 813 |
-
,,,,,,,,,,,
|
| 814 |
-
,,,,,,,,,,,
|
| 815 |
-
,,,,,,,,,,,
|
| 816 |
-
,,,,,,,,,,,
|
| 817 |
-
,,,,,,,,,,,
|
| 818 |
-
,,,,,,,,,,,
|
| 819 |
-
,,,,,,,,,,,
|
| 820 |
-
,,,,,,,,,,,
|
| 821 |
-
,,,,,,,,,,,
|
| 822 |
-
,,,,,,,,,,,
|
| 823 |
-
,,,,,,,,,,,
|
| 824 |
-
,,,,,,,,,,,
|
| 825 |
-
,,,,,,,,,,,
|
| 826 |
-
,,,,,,,,,,,
|
| 827 |
-
,,,,,,,,,,,
|
| 828 |
-
,,,,,,,,,,,
|
| 829 |
-
,,,,,,,,,,,
|
| 830 |
-
,,,,,,,,,,,
|
| 831 |
-
,,,,,,,,,,,
|
| 832 |
-
,,,,,,,,,,,
|
| 833 |
-
,,,,,,,,,,,
|
| 834 |
-
,,,,,,,,,,,
|
| 835 |
-
,,,,,,,,,,,
|
| 836 |
-
,,,,,,,,,,,
|
| 837 |
-
,,,,,,,,,,,
|
| 838 |
-
,,,,,,,,,,,
|
| 839 |
-
,,,,,,,,,,,
|
| 840 |
-
,,,,,,,,,,,
|
| 841 |
-
,,,,,,,,,,,
|
| 842 |
-
,,,,,,,,,,,
|
| 843 |
-
,,,,,,,,,,,
|
| 844 |
-
,,,,,,,,,,,
|
| 845 |
-
,,,,,,,,,,,
|
| 846 |
-
,,,,,,,,,,,
|
| 847 |
-
,,,,,,,,,,,
|
| 848 |
-
,,,,,,,,,,,
|
| 849 |
-
,,,,,,,,,,,
|
| 850 |
-
,,,,,,,,,,,
|
| 851 |
-
,,,,,,,,,,,
|
| 852 |
-
,,,,,,,,,,,
|
| 853 |
-
,,,,,,,,,,,
|
| 854 |
-
,,,,,,,,,,,
|
| 855 |
-
,,,,,,,,,,,
|
| 856 |
-
,,,,,,,,,,,
|
| 857 |
-
,,,,,,,,,,,
|
| 858 |
-
,,,,,,,,,,,
|
| 859 |
-
,,,,,,,,,,,
|
| 860 |
-
,,,,,,,,,,,
|
| 861 |
-
,,,,,,,,,,,
|
| 862 |
-
,,,,,,,,,,,
|
| 863 |
-
,,,,,,,,,,,
|
| 864 |
-
,,,,,,,,,,,
|
| 865 |
-
,,,,,,,,,,,
|
| 866 |
-
,,,,,,,,,,,
|
| 867 |
-
,,,,,,,,,,,
|
| 868 |
-
,,,,,,,,,,,
|
| 869 |
-
,,,,,,,,,,,
|
| 870 |
-
,,,,,,,,,,,
|
| 871 |
-
,,,,,,,,,,,
|
| 872 |
-
,,,,,,,,,,,
|
| 873 |
-
,,,,,,,,,,,
|
| 874 |
-
,,,,,,,,,,,
|
| 875 |
-
,,,,,,,,,,,
|
| 876 |
-
,,,,,,,,,,,
|
| 877 |
-
,,,,,,,,,,,
|
| 878 |
-
,,,,,,,,,,,
|
| 879 |
-
,,,,,,,,,,,
|
| 880 |
-
,,,,,,,,,,,
|
| 881 |
-
,,,,,,,,,,,
|
| 882 |
-
,,,,,,,,,,,
|
| 883 |
-
,,,,,,,,,,,
|
| 884 |
-
,,,,,,,,,,,
|
| 885 |
-
,,,,,,,,,,,
|
| 886 |
-
,,,,,,,,,,,
|
| 887 |
-
,,,,,,,,,,,
|
| 888 |
-
,,,,,,,,,,,
|
| 889 |
-
,,,,,,,,,,,
|
| 890 |
-
,,,,,,,,,,,
|
| 891 |
-
,,,,,,,,,,,
|
| 892 |
-
,,,,,,,,,,,
|
| 893 |
-
,,,,,,,,,,,
|
| 894 |
-
,,,,,,,,,,,
|
| 895 |
-
,,,,,,,,,,,
|
| 896 |
-
,,,,,,,,,,,
|
| 897 |
-
,,,,,,,,,,,
|
| 898 |
-
,,,,,,,,,,,
|
| 899 |
-
,,,,,,,,,,,
|
| 900 |
-
,,,,,,,,,,,
|
| 901 |
-
,,,,,,,,,,,
|
| 902 |
-
,,,,,,,,,,,
|
| 903 |
-
,,,,,,,,,,,
|
| 904 |
-
,,,,,,,,,,,
|
| 905 |
-
,,,,,,,,,,,
|
| 906 |
-
,,,,,,,,,,,
|
| 907 |
-
,,,,,,,,,,,
|
| 908 |
-
,,,,,,,,,,,
|
| 909 |
-
,,,,,,,,,,,
|
| 910 |
-
,,,,,,,,,,,
|
| 911 |
-
,,,,,,,,,,,
|
| 912 |
-
,,,,,,,,,,,
|
| 913 |
-
,,,,,,,,,,,
|
| 914 |
-
,,,,,,,,,,,
|
| 915 |
-
,,,,,,,,,,,
|
| 916 |
-
,,,,,,,,,,,
|
| 917 |
-
,,,,,,,,,,,
|
| 918 |
-
,,,,,,,,,,,
|
| 919 |
-
,,,,,,,,,,,
|
| 920 |
-
,,,,,,,,,,,
|
| 921 |
-
,,,,,,,,,,,
|
| 922 |
-
,,,,,,,,,,,
|
| 923 |
-
,,,,,,,,,,,
|
| 924 |
-
,,,,,,,,,,,
|
| 925 |
-
,,,,,,,,,,,
|
| 926 |
-
,,,,,,,,,,,
|
| 927 |
-
,,,,,,,,,,,
|
| 928 |
-
,,,,,,,,,,,
|
| 929 |
-
,,,,,,,,,,,
|
| 930 |
-
,,,,,,,,,,,
|
| 931 |
-
,,,,,,,,,,,
|
| 932 |
-
,,,,,,,,,,,
|
| 933 |
-
,,,,,,,,,,,
|
| 934 |
-
,,,,,,,,,,,
|
| 935 |
-
,,,,,,,,,,,
|
| 936 |
-
,,,,,,,,,,,
|
| 937 |
-
,,,,,,,,,,,
|
| 938 |
-
,,,,,,,,,,,
|
| 939 |
-
,,,,,,,,,,,
|
| 940 |
-
,,,,,,,,,,,
|
| 941 |
-
,,,,,,,,,,,
|
| 942 |
-
,,,,,,,,,,,
|
| 943 |
-
,,,,,,,,,,,
|
| 944 |
-
,,,,,,,,,,,
|
| 945 |
-
,,,,,,,,,,,
|
| 946 |
-
,,,,,,,,,,,
|
| 947 |
-
,,,,,,,,,,,
|
| 948 |
-
,,,,,,,,,,,
|
| 949 |
-
,,,,,,,,,,,
|
| 950 |
-
,,,,,,,,,,,
|
| 951 |
-
,,,,,,,,,,,
|
| 952 |
-
,,,,,,,,,,,
|
| 953 |
-
,,,,,,,,,,,
|
| 954 |
-
,doctr-default,,,,,177,,,,,
|
| 955 |
-
,doctr-v2m(best),,,,,256,,,,,
|
| 956 |
-
,,,,,,300 in total,200,200,200,100,total
|
|
|
|
| 12 |
17,WeMM,7,InternLM2-7B,SigLIP-400M,,,,,,,
|
| 13 |
18,IDEFICS2-8B,8,Mistral-7B,SigLIP-400M,,,,,,,
|
| 14 |
19,Cambrian-8B,8,Vicuna-v1.5-7B,CLIP ViT-L/14,,,,,,,
|
| 15 |
+
,H2OVL-Mississippi-0.8B,0.8,H2O-Danube3 0.5B,InternViT-300M-448,751,274,162,112,152,51,
|
| 16 |
14,Mini-InternVL-Chat-2B-V1.5,2,InternLM2-1.8B,InternViT-300M,652,222,161,126,139,4,
|
| 17 |
15,Mini-InternVL-Chat-4B-V1.5,4,Phi-3,InternViT-300M,640,193,160,146,135,6,
|
| 18 |
20,PaliGemma-3B-mix-448,3,Gemma-2B,SigLIP-400M,613,242,165,88,118,0,
|
|
|
|
| 23 |
,Qwen2-VL-2B-Instruct,2.1,Qwen2-1.5B,ViT-600M,812,265,172,146,174,55,
|
| 24 |
,GOT-OCR2.0,0.6,,,622,245,99,83,164,31,
|
| 25 |
,doctr-default,0.05,,,,177,,,,,
|
| 26 |
+
,doctr-v2m(best),0.05,,,,256,,,,,
|
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|
app.py
CHANGED
|
@@ -27,7 +27,7 @@ data_valid.drop(columns=['Unnamed: 11'], inplace=True)
|
|
| 27 |
|
| 28 |
# Add a new column that assigns categories to Model A, Model B, and Model C, and 'Other' to the rest
|
| 29 |
def categorize_model(model):
|
| 30 |
-
if model in ["H2OVL-Mississippi-2B", "H2OVL-Mississippi-
|
| 31 |
return "H2OVLs"
|
| 32 |
elif model.startswith("doctr"): # Third group for ocr models
|
| 33 |
return "traditional ocr models"
|
|
@@ -116,10 +116,10 @@ def create_interface():
|
|
| 116 |
with gr.Tab("OCRBench"):
|
| 117 |
with gr.Row():
|
| 118 |
with gr.Column(scale=4): # Column for the plot (takes 4 parts of the total space)
|
| 119 |
-
plot = gr.Plot(value=plot_metric("
|
| 120 |
with gr.Column(scale=1): # Column for the dropdown (takes 1 part of the total space)
|
| 121 |
metrics = list(data_valid.columns[5:-1]) # List of metric columns (excluding 'Model' and 'Parameter Size')
|
| 122 |
-
dropdown = gr.Dropdown(metrics, label="Select Metric", value="
|
| 123 |
|
| 124 |
# Update the plot when dropdown selection changes
|
| 125 |
dropdown.change(fn=plot_metric, inputs=dropdown, outputs=plot)
|
|
|
|
| 27 |
|
| 28 |
# Add a new column that assigns categories to Model A, Model B, and Model C, and 'Other' to the rest
|
| 29 |
def categorize_model(model):
|
| 30 |
+
if model in ["H2OVL-Mississippi-2B", "H2OVL-Mississippi-0.8B"]:
|
| 31 |
return "H2OVLs"
|
| 32 |
elif model.startswith("doctr"): # Third group for ocr models
|
| 33 |
return "traditional ocr models"
|
|
|
|
| 116 |
with gr.Tab("OCRBench"):
|
| 117 |
with gr.Row():
|
| 118 |
with gr.Column(scale=4): # Column for the plot (takes 4 parts of the total space)
|
| 119 |
+
plot = gr.Plot(value=plot_metric("Text Recognition"), label="OCR Benchmark Metrics") # default plot component initially
|
| 120 |
with gr.Column(scale=1): # Column for the dropdown (takes 1 part of the total space)
|
| 121 |
metrics = list(data_valid.columns[5:-1]) # List of metric columns (excluding 'Model' and 'Parameter Size')
|
| 122 |
+
dropdown = gr.Dropdown(metrics, label="Select Metric", value="Text Recognition")
|
| 123 |
|
| 124 |
# Update the plot when dropdown selection changes
|
| 125 |
dropdown.change(fn=plot_metric, inputs=dropdown, outputs=plot)
|