This repository contains the RORD-50 dataset, introduced in the paper From Ideal to Real: Stable Video Object Removal under Imperfect Conditions.
Project Page | GitHub | Paper
The RORD-50 dataset is a benchmark designed to evaluate video object removal performance under real-world challenges, such as shadows, abrupt motion, and defective masks. It was introduced as part of the Stable Video Object Removal (SVOR) framework, which focuses on… See the full description on the dataset page:
https://huggingface.co/datasets/HigherHu/RORD-50.
