VidUEU-Agent Data-Curation Pipeline for Multimodal Tasks
Original title: VidUEU-Agent: A Data-Curation Agent for Multimodal Understanding, Editing, and Unified Tasks
VidUEU-Agent synthesizes 100K instruction samples from raw videos for multimodal understanding, editing, and unified tasks.
VidUEU-Agent is an automated four-stage pipeline that filters low-quality shots, mines keyframes, constructs metadata, and synthesizes instruction samples. It can iterate data distribution based on downstream results. Scaling the pipeline produced VidUEU-100K with 100K training samples. Fine-tuning baselines on this dataset yields significant performance gains across multiple benchmarks for understanding, editing, and unified multimodal capabilities.
- Four-stage pipeline: global perception, keyframe mining, metadata construction, synthesis.
- Autonomously iterates data distribution.
- VidUEU-100K dataset with 100K samples.
- Consistent gains on diverse benchmarks.
From the original article
1 min read at huggingface.co
The advancement of multimodal learning is heavily constrained by the scarcity and high annotation cost of high-quality instruction data. While raw videos offer an abundant and dynamic source of visual knowledge, transforming them into precise instruction data remains highly challenging.
By Tengju Ru, Weitong Lian, Zecong Tang · huggingface.co
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