Nothing special needs to be done for the nuScenes dataset, simply install it as per the instructions in the devkit README.
It should look like this after downloading:
/path/to/nuScenes/
├── maps/
├── samples/
├── sweeps/
├── v1.0-mini/
├── v1.0-test/
└── v1.0-trainval/
Note: At a minimum, only the annotations need to be downloaded (not the raw radar/camera/lidar/etc data).
Nothing special needs to be done for the Lyft Level 5 dataset, simply install it as per the instructions on the dataset website.
It should look like this after downloading:
/path/to/lyft/
├── LICENSE
├── aerial_map
├── feedback.txt
├── meta.json
├── scenes/
│ ├── sample.zarr
| ├── train.zarr
| └── ...
└── semantic_map/
└── semantic_map.pb
Note: Not all the dataset parts need to be downloaded, only the necessary .zarr files need to be downloaded (e.g., sample.zarr for the small sample dataset).
The raw data can be found in many places online, ranging from research projects' data download scripts to copies of the original data itself on GitHub. In this data loader, we assume the data was sourced from the latter.
It should look like this after downloading:
/path/to/eth_ucy/
├── biwi_eth.txt
├── biwi_hotel.txt
├── crowds_zara01.txt
├── crowds_zara02.txt
├── crowds_zara03.txt
├── students001.txt
├── students003.txt
└── uni_examples.txt