Organising the dataset & MM benchmark

[AvivSham]

Hi All, Thank you for your excellent work! I have 2 questions:

1. You request to organize the dataset as follow:

ONCE_Benchmark
├── data
│   ├── once
│   │   │── ImageSets
|   |   |   ├──train.txt
|   |   |   ├──val.txt
|   |   |   ├──test.txt
|   |   |   ├──raw_small.txt (100k unlabeled)
|   |   |   ├──raw_medium.txt (500k unlabeled)
|   |   |   ├──raw_large.txt (1M unlabeled)
│   │   │── data
│   │   │   ├──000000
|   |   |   |   |──000000.json (infos)
|   |   |   |   |──lidar_roof (point clouds)
|   |   |   |   |   |──frame_timestamp_1.bin
|   |   |   |   |  ...
|   |   |   |   |──cam0[1-9] (images)
|   |   |   |   |   |──frame_timestamp_1.jpg
|   |   |   |   |  ...
|   |   |   |  ...
├── pcdet
├── tools

But on the dataset website it does not look like that. In addition, I extracted the train annotation tar file and did not find any .txt file. Can you please check it out or update the "getting started" file + Dataset object?

2. Did you perform a benchmark on multimodal model? if so, which model did you use?

Cheers, A

[synsin0]

I also want to perform camera-based detection on Once dataset. Do you have some progress on once dataset on multi-modal framework such as mmdet3d?