Add dataset metadata and README

# ParisStreetView-RandomMasks

ParisStreetView-RandomMasks is a large-scale urban image inpainting dataset designed for computer vision researchers, generative AI developers, and deep learning practitioners.

The dataset contains 22,601 street-view images along with synthetically generated irregular random masks and corrupted images for image inpainting research.

## Dataset Structure

```text
Dataset/
├── images/
├── masks/
├── corrupted/
└── annotations.csv
```

## Applications

- Image Inpainting
- Diffusion Models
- Scene Completion
- Image Restoration
- Generative AI
- Computer Vision Research

## Features

- Large-scale urban street-view imagery
- Random irregular masks
- Corrupted inpainting inputs
- Training-ready dataset structure

## Related Resources

- [Deep Learning Projects and Research Topics](https://projectcentersinchennai.co.in/ieee-domains/cse/deep-learning-projects-for-final-year/)

- [Image Processing and Computer Vision Projects](https://projectcentersinchennai.co.in/ieee-domains/cse/image-processing-projects-for-final-year/)

- [Project Centers in Chennai](https://projectcentersinchennai.co.in/)

## Citation

Author: Kannan Wisen

## License

CC BY 4.0

README.md

@@ -1,3 +1,13 @@
 ---
 license: cc-by-4.0
----
+task_categories:
+- image-to-image
+language:
+- en
+tags:
+- Image Inpainting
+- Diffusion Models
+pretty_name: ParisStreetView-RandomMasks
+size_categories:
+- 10K<n<100K
+---