---
license: cc-by-nc-4.0
pretty_name: VSCD
task_categories:
- image-segmentation
- video-classification
size_categories:
- 100GB<n<1TB
---

# VSCD: Video-based Scene Change Detection in Unaligned Scenes

## Dataset Description

VSCD is a benchmark for **Video-based Scene Change Detection**. Given two RGB videos of the same indoor environment captured at different scene states, the task is to predict a pixel-wise change mask aligned with the query video.

Each environment contains five scene videos, `scene0.mp4` to `scene4.mp4`. A VSCD sample is defined by a directed scene pair:

```text
scene0 -> scene1
scene1 -> scene2
scene2 -> scene3
scene3 -> scene4
scene4 -> scene0
```

For each directed pair `sceneA -> sceneB`, `sceneA` is used as the reference video, `sceneB` is used as the query video, and `change_mask_sceneA_to_sceneB.mp4` provides the query-aligned binary change-mask video.

The benchmark is designed for unaligned video pairs with unconstrained camera motion, strong viewpoint mismatch, occlusions, and multiple object-level changes. Object appearances, disappearances, and relocations are treated as changes. Appearance-only variations such as illumination, shadows, and reflections are not considered semantic changes.

## Dataset Structure

The dataset is organized into train and test splits:

```text
vscd/
├── train/
│   ├── train_<EnvironmentName>/
│   │   ├── scene0.mp4
│   │   ├── scene1.mp4
│   │   ├── scene2.mp4
│   │   ├── scene3.mp4
│   │   ├── scene4.mp4
│   │   ├── change_mask_scene0_to_scene1.mp4
│   │   ├── change_mask_scene1_to_scene2.mp4
│   │   ├── change_mask_scene2_to_scene3.mp4
│   │   ├── change_mask_scene3_to_scene4.mp4
│   │   └── change_mask_scene4_to_scene0.mp4
│   └── ...
└── test/
    ├── test_<EnvironmentName>/
    │   ├── scene0.mp4
    │   ├── scene1.mp4
    │   ├── scene2.mp4
    │   ├── scene3.mp4
    │   ├── scene4.mp4
    │   ├── change_mask_scene0_to_scene1.mp4
    │   ├── change_mask_scene1_to_scene2.mp4
    │   ├── change_mask_scene2_to_scene3.mp4
    │   ├── change_mask_scene3_to_scene4.mp4
    │   └── change_mask_scene4_to_scene0.mp4
    └── ...
```

For example, an environment folder may look like:

```text
test/test_BedroomScene18/
├── scene0.mp4
├── scene1.mp4
├── scene2.mp4
├── scene3.mp4
├── scene4.mp4
├── change_mask_scene0_to_scene1.mp4
├── change_mask_scene1_to_scene2.mp4
├── change_mask_scene2_to_scene3.mp4
├── change_mask_scene3_to_scene4.mp4
└── change_mask_scene4_to_scene0.mp4
```

## Splits

- `train`: training split
- `test`: test split

Each split contains multiple environment folders. Each environment folder defines five directed video-pair samples.

## Pair Definition

The dataset uses the following fixed directed pairs:

| Reference scene | Query scene | Change mask |
|---|---|---|
| `scene0.mp4` | `scene1.mp4` | `change_mask_scene0_to_scene1.mp4` |
| `scene1.mp4` | `scene2.mp4` | `change_mask_scene1_to_scene2.mp4` |
| `scene2.mp4` | `scene3.mp4` | `change_mask_scene2_to_scene3.mp4` |
| `scene3.mp4` | `scene4.mp4` | `change_mask_scene3_to_scene4.mp4` |
| `scene4.mp4` | `scene0.mp4` | `change_mask_scene4_to_scene0.mp4` |

For a pair `sceneA -> sceneB`:

- `sceneA.mp4`: reference video
- `sceneB.mp4`: query video
- `change_mask_sceneA_to_sceneB.mp4`: binary change mask video aligned with `sceneB.mp4`

## Download

To download the full dataset:

```bash
hf download jiae1234/vscd --repo-type dataset --local-dir ./VSCD
```

To download a specific file:

```bash
hf download jiae1234/vscd test/test_BedroomScene18/scene0.mp4 --repo-type dataset --local-dir ./VSCD_sample
```

## License

This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

The dataset may be used, shared, and adapted for non-commercial research purposes with proper attribution.

## Asset Notice

This dataset contains only rendered video files and rendered change-mask annotations generated from simulation environments. It does not include or redistribute the original 3D assets, textures, meshes, Unreal Engine project files, simulator source assets, or asset-pack files used to generate the videos.

Some rendered environments were generated using AI2-THOR and Unreal Engine/Fab/Marketplace assets. Users of this dataset are granted access only to the rendered video data and annotations released in this repository, not to the underlying third-party assets.

## Citation

If you use this dataset, please cite:

```bibtex
@inproceedings{yoon2026vscd,
  title={VSCD: Video-based Scene Change Detection in Unaligned Scenes},
  author={Yoon, Jiae and Kim, Ue-Hwan},
  booktitle={Proceedings of the 43rd International Conference on Machine Learning},
  year={2026}
}
```