MultimodalOnline
MVBench
Measures multi-modal video understanding across 20 temporal and perceptual tasks.
- Task count
- 20
There are 51 multimodal in the index.
51 benchmarks
MultimodalOnline
Measures multi-modal video understanding across 20 temporal and perceptual tasks.
MultimodalOnline
Evaluates causal and temporal reasoning in video question answering rather than simple visual description.
MultimodalOnline
Measures OCR in multimodal models across text recognition, scene-text VQA, document VQA, extraction, and handwritten math.
MultimodalOnline
Measures bilingual visual-text localization, recognition, extraction, and reasoning across diverse real-world scenarios.
MultimodalOnline
Tests text-to-image systems with over 1,600 prompts spanning simple scenes, complex compositions, writing, and abstract concepts.
MultimodalOnline
Measures image and video comprehension across multimodal ability dimensions using human-annotated multiple-choice questions.
MultimodalOnline
Studies whether aesthetic-preference benchmarks reward expert-aligned craft judgment rather than shortcuts; its item pool remains pending licence clearance.
MultimodalOnline
Evaluates video language models on perception, prior-knowledge use, and video-based decision making.
MultimodalOnline
Evaluates multimodal models on short, medium, and long videos across visual domains, durations, and subtitle settings.
MultimodalOnline
Measures whether multimodal models acquire and apply new knowledge from professional lecture videos.
MultimodalOnline
Tests whether multimodal models solve visual math problems through coherent one-step and multi-step reasoning.
MultimodalOnline
Tests question answering over long videos with questions that require spatial and temporal reasoning.
MultimodalOnline
Measures parsing and question answering over grade-school science diagrams with annotated constituents and relationships.
MultimodalOnline
Evaluates spatiotemporally localized recognition of 80 atomic actions in densely annotated movie clips.
MultimodalOnline
Evaluates image classification on 60,000 small color images evenly divided among ten classes.
MultimodalOnline
Evaluates image-caption generation on everyday scenes using reference captions and standardized captioning metrics.
MultimodalOnline
Measures question answering over document images where layout, text, and document structure matter.
MultimodalOnline
Measures question answering that combines infographic text, layout, graphics, data visualizations, and arithmetic.
MultimodalOnline
Measures visual question answering that requires knowledge beyond the content visible in an image.
MultimodalOnline
Tests recognition of everyday actions whose labels depend on temporal and physical interactions between people and objects.
MultimodalOnline
Tests whether language models can generate SVGs that satisfy requirements involving knowledge, code, instructions, and physical reasoning.
MultimodalOnline
Measures visual question answering that requires reading and reasoning about text in natural images.
MultimodalOnline
Measures answers to visual questions submitted by blind people in real accessibility scenarios.
MultimodalOnline
Measures visual question answering while reducing language-only shortcuts through complementary image pairs.
Published by AI Benchmark Index. How we check each benchmark.