Paper | Project Page | Code
VideoRefer-700K is a large-scale, high-quality object-level video instruction dataset. Curated using a sophisticated multi-agent data engine to fill the gap for high-quality object-level video instruction data.
VideoRefer consists of three types of data:
Object-level Detailed Caption
Object-level Short Caption
Object-level QA
Video sources:
Detailed&Short Caption
Panda-70M.
QA
MeViS
A2D
Youtube-VOS
Data format:
[
{… See the full description on the dataset page:
https://huggingface.co/datasets/DAMO-NLP-SG/VideoRefer-700K.
