HigherHu/RORD-50
RORD-50 Dataset 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 Introduction 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… See the full description on the dataset page: https://huggingface.co/datasets/HigherHu/RORD-50.
| Author / organization | HigherHu |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 244 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 2 April 2026 |
| Last updated at source | 24 April 2026 |
Recent changes
- 16 Oct 2026 Description: RORD-50 Dataset 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 Introduction The RORD-50 dataset is a benchmark → RORD-50 Dataset 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 Introduction The RORD-50 dataset is a benchmark
Changes detected by Silytics between refreshes of the source.
More from HigherHu
- HigherHu/S2R-BenchDataset
- HigherHu/PROVE-BenchDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.