added GOT-OCR2.0

0926-OCRBench-opensource.csv

@@ -1,10 +1,6 @@
 Rank,Model,Param (B),Language Model,Vision Model,OCRBench,Text Recognition,Scene Text-centric VQA,Document Oriented VQA,KIE,Handwritten Math Expression Recognition,
-1,InternVL2-Llama3-76B,76,Llama-3-70B-Instruct,InternViT-6B,,,,,,,
-2,InternVL2-40B,40,Nous-Hermes-2-Yi-34B,InternViT-6B,,,,,,,
-3,InternVL2-26B,26,InternLM2-20B,InternViT-6B,,,,,,,
-4,InternVL2-8B,8,InternLM2.5-7B,InternViT-300M,,,,,,,
 ,minicpm_v2.6,8,Qwen2-7B,SigLIP-400M,836,259,184,169,182,42,
-,MiniMonkey,2,,,792,250,178,126,171,67,
+,MiniMonkey,2.2,,,792,250,178,126,171,67,
 7,GLM-4v-9B,9,glm-4-9b,EVA-02-5B,,,,,,,
 8,CogVLM2-19B-Chat,19,Llama-3-8B-Instruct,EVA2-CLIP-E,,,,,,,
 5,InternVL2-4B,4,Phi-3,InternViT-300M,785,236,170,154,158,67,
@@ -21,9 +17,11 @@ Rank,Model,Param (B),Language Model,Vision Model,OCRBench,Text Recognition,Scene
 15,Mini-InternVL-Chat-4B-V1.5,4,Phi-3,InternViT-300M,640,193,160,146,135,6,
 20,PaliGemma-3B-mix-448,3,Gemma-2B,SigLIP-400M,613,242,165,88,118,0,
 21,MiniCPM-V-2,2.8,MiniCPM-2.4B,SigLIP-400M,596,243,168,100,85,0,
+21,MiniCPM-V,3,MiniCPM-2.4B,SigLIP-400M,596,243,168,100,85,0,
 16,Phi-3-Vision,4.2,Phi-3,CLIP ViT-L/14,640,196,159,137,148,0,
 ,Internvl2-26B,26,,,823,251,184,153,168,67,
 ,Qwen2-VL-2B-Instruct,2.1,Qwen2-1.5B,ViT-600M,812,265,172,146,174,55,
+,GOT-OCR2.0,0.6,,,622,245,99,83,164,31,
 ,doctr-default,0.05,,,,177,,,,,
 ,doctr-v2m(best),0.05,,,,256,,,,,
 ,,,,,,,,,,,

app.py

@@ -19,7 +19,7 @@ dtype_dict = {
 
 
 # preprocess the dataframe
-data_valid = data[:27].copy()
+data_valid = data[:25].copy()
 data_valid = data_valid.astype(dtype_dict)
 data_valid.drop(columns=['Unnamed: 11'], inplace=True)