- **URL**: https://huggingface.co/datasets/jeong2/avoid
- **Dataset url**: http://vi.kaist.ac.kr/avoid/avoid.html
- **Supplementary video link**: <!-- http://vi.kaist.ac.kr/avoid/sample.mp4 -->
- **Dataset embargo**: We have our project page available, but the full dataset will be open by the end of September.
- Since our dataset requires a large amount of storage (>500GB and >1TB with additional data), we expect it will take a couple months to setup a stable server.

**Data composition / structure**
```
train / val / test
├──obstacle_weather_Town01_01_01
├──|──obstacle_weather_Town01_01_01_route0_04_14_20_18_51
├──|──|──depth: depth map
├──|──|──label_raw: class, extent, position, yaw, num_points, distance, speed, brake, id, ego_matrix
├──|──|──lidar: LiDAR data
├──|──|──lidar_sem: semantic annotations for LiDAR data
├──|──|──measurements: x, y, theta, speed, target_speed, x_command, y_command, command, waypoints, steer, throttle, brake, weather, junction, vehicle_hazard, light_hazard, walker_hazard, stop_sign_hazard, angle, ego_matrix, 
├──|──|──rgb: RGB image (left)
├──|──|──rgb_bev: BEV RGB image
├──|──|──rgb_pair: paired RGB image (Right)
├──|──|──semantics: semantic annotations for RGB image (left)
├──|──|──semantics_bev: semantic annotations for BEV RGB image
├──|──|──topdown: encoded topdown view
```
---
##License: The AVOID dataset is published under the *CC BY-NC-ND 4.0* License, and all codes are published under the *Apache 2.0* License.
---


## Acknowledgement
To be updated

## Citation
```
@misc{
  avoid,
  title={avoid},
  author={},
  year={2023},
  url={}
}
```