| license: apache-2.0 | |
| library_name: transformers | |
| pipeline_tag: video-text-to-text | |
| # Video-LLaVA-Seg | |
| [Project](https://ali2500.github.io/vicas-project/) | [Arxiv](https://arxiv.org/abs/2412.09754) | |
| This is the official baseline implementation for the ViCas dataset, presented in the paper [ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation](https://huggingface.co/papers/2412.09754). | |
| For details about setting up the model, refer to the [Video-LLaVA-Seg GitHub repo](https://github.com/Ali2500/Video-LLaVA-Seg/tree/main) | |
| For details about downloading and evaluating the dataset benchmark, refer to the [ViCaS GitHub repo](https://github.com/Ali2500/ViCaS/tree/main) |