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New MarineLife-16K dataset targets video-LLM understanding of marine environments

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced MarineLife-16K, a new large-scale video-text dataset designed for understanding marine environments. The dataset includes 2,000 video-text pairs with detailed annotations on objects, attributes, behaviors, and environmental context, generating over 16,000 video-question pairs. Benchmarking various video-LLM models revealed that proprietary models generally perform better, and while models handle object motion well, they struggle with complex camera motion and static camera reasoning. AI

IMPACT This dataset could improve the capabilities of video-LLMs in specialized domains like marine science.

RANK_REASON The cluster describes a new academic dataset and associated research paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New MarineLife-16K dataset targets video-LLM understanding of marine environments

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The cluster describes a new academic dataset and associated research paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Quang-Trung Truong, Thanh-Nghia Nguyen, Phu-Phong Vo, Jaeyeon Kim, Cheng Chen, Jie Zhang, Binh-Son Hua, Duc Thanh Nguyen, Ivor Tsang, Sai-Kit Yeung ·

    MarineLife-16K: An Attribute-Rich Video-Text Dataset for Motion-Aware Marine Video Understanding

    arXiv:2610.33478v1 Announce Type: cross Abstract: Marine video understanding is crucial for a wide range of real-world applications. However, existing marine video datasets suffer from limitations, including the limited number of data samples, fine-grained text descriptions, and …

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