Update ReadMe

# AeroGrid100

**AeroGrid100** is a high-resolution, multi-view aerial dataset designed for neural rendering, NeRF-based reconstruction, and 3D scene understanding tasks.

## Features
- 17,100 high-resolution images
- 10×10 geospatial grid
- 5 altitudes per point
- Structured yaw-pitch sampling
- 6-DoF pose metadata aligned to OpenGL

## License
This dataset is released under the [CC BY-NC 4.0 License](https://creativecommons.org/licenses/by-nc/4.0/).

## Citation


@misc
{zeng2025aerogrid100,
title = {AeroGrid100: A Real-World Multi-Pose Aerial Dataset for Implicit Neural Scene Reconstruction},
author = {Qingyang Zeng and Adyasha Mohanty},
year = {2025},
note = {Presented at the RSS 2025 Workshop on Leveraging Implicit Methods in Aerial Autonomy},
howpublished = {\url{https://im4rob.github.io/attend/papers/7_AeroGrid100_A_Real_World_Mul.pdf}}
}

README.md

@@ -1,3 +1,21 @@
----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-nc-4.0
+language:
+- en
+size_categories:
+- 10K<n<100K
+task_categories:
+- image-to-3d
+- image-to-image
+- object-detection
+- keypoint-detection
+tags:
+- nerf
+- aerial
+- uav
+- 6-dof
+- multi-view
+- pose-estimation
+- neural-rendering
+- 3d-reconstruction
+---