Datasets:
felixleungsc
/
paperswithcode-data-evaluation-tables

Dataset card Data Studio Files
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Visual Question Answering
VQA v2 test-std
Florence
https://arxiv.org/abs/2111.11432v1
overall
80.36
Visual Question Answering
MMHal-Bench
RLAIF-V 12B
https://arxiv.org/abs/2405.17220v2
Score
3.36
Visual Question Answering
MMHal-Bench
RLAIF-V 12B
https://arxiv.org/abs/2405.17220v2
Hallucination Rate
29.2
Visual Question Answering
MMHal-Bench
RLAIF-V 7B
https://arxiv.org/abs/2405.17220v2
Score
3.06
Visual Question Answering
MMHal-Bench
RLAIF-V 7B
https://arxiv.org/abs/2405.17220v2
Hallucination Rate
29.2
Visual Question Answering
GQA
LocVLM-L
https://arxiv.org/abs/2404.07449v1
Accuracy
50.2
Visual Question Answering
AMBER
RLAIF-V 12B
https://arxiv.org/abs/2405.17220v2
Accuracy
88
Visual Question Answering
AMBER
RLAIF-V 12B
https://arxiv.org/abs/2405.17220v2
F1
90.9
Visual Question Answering
COCO Visual Question Answering (VQA) real images 2.0 open ended
MaMMUT (2B)
https://arxiv.org/abs/2303.16839v3
Percentage correct
80.7
Visual Question Answering
MapEval-Visual
Claude-3.5-Sonnet
https://arxiv.org/abs/2501.00316v1
Accuracy (% )
61.65
Visual Question Answering
VQA v2 val
BLIP-2 ViT-G OPT 6.7B (fine-tuned)
https://arxiv.org/abs/2301.12597v3
Accuracy
82.19
Visual Question Answering
VQA v2 val
BLIP-2 ViT-G OPT 2.7B (fine-tuned)
https://arxiv.org/abs/2301.12597v3
Accuracy
81.59
Visual Question Answering
VQA v2 val
BLIP-2 ViT-G FlanT5 XL (fine-tuned)
https://arxiv.org/abs/2301.12597v3
Accuracy
81.55
Visual Question Answering
VQA v2 val
LocVLM-L
https://arxiv.org/abs/2404.07449v1
Accuracy
55.9
Visual Question Answering
PlotQA-D1
MatCha4096 + LaMenDa
http://openaccess.thecvf.com//content/CVPR2024/html/Li_Synthesize_Step-by-Step_Tools_Templates_and_LLMs_as_Data_Generators_for_CVPR_2024_paper.html
1:1 Accuracy
93.94
Visual Question Answering
PlotQA-D1
MatCha
https://arxiv.org/abs/2212.09662v2
1:1 Accuracy
92.3
Visual Question Answering
AID-VQA
SkySense-O
https://arxiv.org/abs/2312.10115v2
Acc. (test)
94.10
Visual Question Answering
MSRVTT-QA
Aurora (ours, r=64) Aurora (ours, r=64)
null
Test Accuracy
44.8
Visual Question Answering
MSRVTT-QA
FrozenBiLM
https://arxiv.org/abs/2206.08155v2
Accuracy
0.470
Visual Question Answering
MSRVTT-QA
Just Ask
https://arxiv.org/abs/2012.00451v3
Accuracy
0.415
Visual Question Answering
MSRVTT-QA
SSML
https://arxiv.org/abs/2003.03186v3
Accuracy
0.35
Visual Question Answering
VizWiz
Emu-I *
https://arxiv.org/abs/2307.05222v2
Accuracy
38.1
Visual Question Answering
MM-Vet v2
gemini-2.0-flash-exp
null
GPT-4 score
77.1±0.1
Visual Question Answering
MM-Vet v2
GPT-4o (gpt-4o-2024-11-20)
https://arxiv.org/abs/2303.08774v5
GPT-4 score
72.1±0.2
Visual Question Answering
MM-Vet v2
Claude 3.5 Sonnet (claude-3-5-sonnet-20240620)
https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf
GPT-4 score
71.8±0.2
Visual Question Answering
MM-Vet v2
GPT-4o (gpt-4o-2024-05-13)
https://arxiv.org/abs/2303.08774v5
GPT-4 score
71.0±0.2
Visual Question Answering
MM-Vet v2
InternVL2-Llama3-76B
null
GPT-4 score
68.4±0.3
Visual Question Answering
MM-Vet v2
InternVL2-Llama3-76B
null
Params
76B
Visual Question Answering
MM-Vet v2
Gemini 1.5 Pro
https://arxiv.org/abs/2403.05530v5
GPT-4 score
66.9±0.2
Visual Question Answering
MM-Vet v2
Qwen2-VL-72B (qwen-vl-max-0809)
https://arxiv.org/abs/2409.12191v2
GPT-4 score
66.9±0.3
Visual Question Answering
MM-Vet v2
Qwen2-VL-72B (qwen-vl-max-0809)
https://arxiv.org/abs/2409.12191v2
Params
72B
Visual Question Answering
MM-Vet v2
gpt-4o-mini-2024-07-18
https://arxiv.org/abs/2303.08774v5
GPT-4 score
66.8±0.3
Visual Question Answering
MM-Vet v2
GPT-4 Turbo (gpt-4-0125-preview)
https://arxiv.org/abs/2303.08774v5
GPT-4 score
66.3±0.2
Visual Question Answering
MM-Vet v2
InternVL2-40B
null
GPT-4 score
63.8±0.2
Visual Question Answering
MM-Vet v2
InternVL2-40B
null
Params
40B
Visual Question Answering
MM-Vet v2
Gemini Pro Vision
https://arxiv.org/abs/2312.11805v5
GPT-4 score
57.2±0.2
Visual Question Answering
MM-Vet v2
Qwen-VL-Max
https://arxiv.org/abs/2308.12966v3
GPT-4 score
55.8±0.2
Visual Question Answering
MM-Vet v2
Claude 3 Opus (claude-3-opus-20240229)
null
GPT-4 score
55.8±0.2
Visual Question Answering
MM-Vet v2
InternVL-Chat-V1-5
https://arxiv.org/abs/2404.16821v2
GPT-4 score
51.5±0.2
Visual Question Answering
MM-Vet v2
LLaVA-NeXT-34B
null
GPT-4 score
50.9±0.1
Visual Question Answering
MM-Vet v2
LLaVA-NeXT-34B
null
Params
34B
Visual Question Answering
MM-Vet v2
InternVL-Chat-V1-2
null
GPT-4 score
45.5±0.1
Visual Question Answering
MM-Vet v2
CogVLM-Chat
https://arxiv.org/abs/2311.03079v2
GPT-4 score
45.1±0.2
Visual Question Answering
MM-Vet v2
IXC2-VL-7B
https://arxiv.org/abs/2401.16420v1
GPT-4 score
42.5±0.3
Visual Question Answering
MM-Vet v2
Emu2-Chat
https://arxiv.org/abs/2312.13286v2
GPT-4 score
38.0±0.1
Visual Question Answering
MM-Vet v2
CogAgent-Chat
https://arxiv.org/abs/2312.08914v3
GPT-4 score
34.7±0.2
Visual Question Answering
MM-Vet v2
LLaVA-v1.5-13B
https://arxiv.org/abs/2310.03744v2
GPT-4 score
33.2±0.1
Visual Question Answering
MM-Vet v2
LLaVA-v1.5-13B
https://arxiv.org/abs/2310.03744v2
Params
13B
Visual Question Answering
MM-Vet v2
LLaVA-v1.5-7B
https://arxiv.org/abs/2310.03744v2
GPT-4 score
28.3±0.2
Visual Question Answering
MM-Vet v2
LLaVA-v1.5-7B
https://arxiv.org/abs/2310.03744v2
Params
7B
Visual Question Answering
MM-Vet v2
Otter-9B
https://arxiv.org/abs/2306.05425v1
GPT-4 score
23.2±0.1
Visual Question Answering
MM-Vet v2
Otter-9B
https://arxiv.org/abs/2306.05425v1
Params
9B
Visual Question Answering
MM-Vet v2
OpenFlamingo-9B
https://arxiv.org/abs/2308.01390v2
GPT-4 score
17.6±0.2
Visual Question Answering
MM-Vet v2
OpenFlamingo-9B
https://arxiv.org/abs/2308.01390v2
Params
9B
Visual Question Answering
ViP-Bench
GPT-4V-turbo-detail:high (Visual Prompt)
https://arxiv.org/abs/2303.08774v5
GPT-4 score (bbox)
60.7
Visual Question Answering
ViP-Bench
GPT-4V-turbo-detail:high (Visual Prompt)
https://arxiv.org/abs/2303.08774v5
GPT-4 score (human)
59.9
Visual Question Answering
ViP-Bench
GPT-4V-turbo-detail:low (Visual Prompt)
https://arxiv.org/abs/2303.08774v5
GPT-4 score (bbox)
52.8
Visual Question Answering
ViP-Bench
GPT-4V-turbo-detail:low (Visual Prompt)
https://arxiv.org/abs/2303.08774v5
GPT-4 score (human)
51.4
Visual Question Answering
ViP-Bench
LLaVA-NeXT-Inst-IT-Qwen2-7B (Visual Prompt
https://arxiv.org/abs/2412.03565v1
GPT-4 score (bbox)
50.5
Visual Question Answering
ViP-Bench
LLaVA-NeXT-Inst-IT-Qwen2-7B (Visual Prompt
https://arxiv.org/abs/2412.03565v1
GPT-4 score (human)
49.0
Visual Question Answering
ViP-Bench
ViP-LLaVA-13B (Visual Prompt)
https://arxiv.org/abs/2310.20111v1
GPT-4 score (bbox)
48.3
Visual Question Answering
ViP-Bench
ViP-LLaVA-13B (Visual Prompt)
https://arxiv.org/abs/2310.20111v1
GPT-4 score (human)
48.2
Visual Question Answering
ViP-Bench
LLaVA-1.5-13B (Coordinates)
https://arxiv.org/abs/2310.03744v2
GPT-4 score (bbox)
47.1
Visual Question Answering
ViP-Bench
Qwen-VL-Chat (Coordinates)
https://arxiv.org/abs/2308.12966v3
GPT-4 score (bbox)
45.3
Visual Question Answering
ViP-Bench
LLaVA-NeXT-Inst-IT-Vicuna-7B (Visual Prompt
https://arxiv.org/abs/2412.03565v1
GPT-4 score (bbox)
45.1
Visual Question Answering
ViP-Bench
LLaVA-NeXT-Inst-IT-Vicuna-7B (Visual Prompt
https://arxiv.org/abs/2412.03565v1
GPT-4 score (human)
48.2
Visual Question Answering
ViP-Bench
LLaVA-1.5-13B (Visual Prompt)
https://arxiv.org/abs/2310.03744v2
GPT-4 score (bbox)
41.8
Visual Question Answering
ViP-Bench
LLaVA-1.5-13B (Visual Prompt)
https://arxiv.org/abs/2310.03744v2
GPT-4 score (human)
42.9
Visual Question Answering
ViP-Bench
Qwen-VL-Chat (Visual Prompt)
https://arxiv.org/abs/2308.12966v3
GPT-4 score (bbox)
39.2
Visual Question Answering
ViP-Bench
Qwen-VL-Chat (Visual Prompt)
https://arxiv.org/abs/2308.12966v3
GPT-4 score (human)
41.7
Visual Question Answering
ViP-Bench
InstructBLIP-13B (Visual Prompt)
https://arxiv.org/abs/2305.06500v2
GPT-4 score (bbox)
35.8
Visual Question Answering
ViP-Bench
InstructBLIP-13B (Visual Prompt)
https://arxiv.org/abs/2305.06500v2
GPT-4 score (human)
35.2
Visual Question Answering
ViP-Bench
GPT4ROI 7B (ROI)
https://arxiv.org/abs/2307.03601v3
GPT-4 score (bbox)
35.1
Visual Question Answering
ViP-Bench
Shikra-7B (Coordinates)
https://arxiv.org/abs/2306.15195v2
GPT-4 score (bbox)
33.7
Visual Question Answering
ViP-Bench
Kosmos-2 (Discrete Token)
https://arxiv.org/abs/2306.14824v3
GPT-4 score (bbox)
26.9
Visual Question Answering
V*bench
LLaVA-OneVision7B w. FOCUS
https://arxiv.org/abs/2506.21710
Accuracy
92.15
Visual Question Answering
V*bench
LLaVA-OneVision7B w. ZoomEye
https://arxiv.org/abs/2411.16044v1
Accuracy
90.58
Visual Question Answering
V*bench
IVM-Enhanced GPT4-V
https://arxiv.org/abs/2405.19783v2
Accuracy
81.2
Visual Question Answering
V*bench
SEAL
https://arxiv.org/abs/2312.14135v2
Accuracy
75.39
Visual Question Answering
V*bench
LLaVA-OneVision7B
https://arxiv.org/abs/2408.03326v3
Accuracy
74.46
Visual Question Answering
BenchLMM
GPT-4V
https://arxiv.org/abs/2303.08774v5
GPT-3.5 score
58.37
Visual Question Answering
BenchLMM
Sphinx-V2-1K
https://arxiv.org/abs/2311.07575v1
GPT-3.5 score
57.43
Visual Question Answering
BenchLMM
LLaVA-1.5-13B
https://arxiv.org/abs/2310.03744v2
GPT-3.5 score
55.53
Visual Question Answering
BenchLMM
LLaVA-1.5-7B
https://arxiv.org/abs/2304.08485v2
GPT-3.5 score
46.83
Visual Question Answering
BenchLMM
InstructBLIP-13B
https://arxiv.org/abs/2305.06500v2
GPT-3.5 score
45.03
Visual Question Answering
BenchLMM
InstructBLIP-7B
https://arxiv.org/abs/2305.06500v2
GPT-3.5 score
44.63
Visual Question Answering
BenchLMM
LLaVA-1-13B
https://arxiv.org/abs/2304.08485v2
GPT-3.5 score
43.50
Visual Question Answering
BenchLMM
Otter-7B
https://arxiv.org/abs/2305.03726v1
GPT-3.5 score
39.13
Visual Question Answering
BenchLMM
MiniGPT4-13B
https://arxiv.org/abs/2304.10592v2
GPT-3.5 score
34.93
Visual Question Answering
BenchLMM
MiniGPTv2-7B
https://arxiv.org/abs/2310.09478v3
GPT-3.5 score
30.1
Visual Question Answering
TextVQA test-standard
PromptCap
https://arxiv.org/abs/2211.09699v4
overall
51.80
Visual Question Answering
EarthVQA
SOBA
https://arxiv.org/abs/2312.12222v1
Overall Accuracy
78.14
Visual Question Answering
VisualMRC
LayoutT5 (Large)
https://arxiv.org/abs/2101.11272v2
CIDEr
364.2
Visual Question Answering > Spatial Reasoning
EmbSpatial-Bench
SoFar
https://arxiv.org/abs/2502.13143v1
Generation
70.88
Visual Question Answering > Spatial Reasoning
EmbSpatial-Bench
Qwen-VL-Max
https://arxiv.org/abs/2308.12966v3
Generation
49.11
Visual Question Answering > Spatial Reasoning
EmbSpatial-Bench
GPT-4V
https://arxiv.org/abs/2303.08774v5
Generation
36.07
Visual Question Answering > Spatial Reasoning
EmbSpatial-Bench
LLaVA-1.6
https://arxiv.org/abs/2304.08485v2
Generation
35.19
Visual Question Answering > Spatial Reasoning
EmbSpatial-Bench
MiniGPT4
https://arxiv.org/abs/2304.10592v2
Generation
23.54
Visual Question Answering > Spatial Reasoning
6-DoF SpatialBench
SoFar
https://arxiv.org/abs/2502.13143v1
Total
43.9
Visual Question Answering > Spatial Reasoning
6-DoF SpatialBench
SoFar
https://arxiv.org/abs/2502.13143v1
Position-rel
59.6