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Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs

Dysca is a dynamic and scalable benchmark for evaluating the perception ability of Large Vision-Language Models (LVLMs) via various subtasks and scenarios.

Data and Resources

Cite this as

Jie Zhang, Zhongqi Wang, Mengqi Lei, Zheng Yuan, Bei Yan, Shiguang Shan, Xilin Chen (2024). Dataset: Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs. https://doi.org/10.57702/ggkr5ugt

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2406.18849
Author Jie Zhang
More Authors
Zhongqi Wang
Mengqi Lei
Zheng Yuan
Bei Yan
Shiguang Shan
Xilin Chen
Homepage https://github.com/Benchmark-Dysca/Dysca