Datasets:

MHDCSM
/

cv_ds_all

license: other
task_categories:
  - image-to-image
tags:
  - novel-view-synthesis
  - autonomous-driving
  - lidar
  - multi-view
size_categories:
  - 10K<n<100K

MHDCSM/cv_ds_all

WebDataset-format shards of the autonomous driving novel-view-synthesis dataset.

Splits:

train-*.tar — training samples (includes ground-truth target images)
test-*.tar — test samples (no targets)

Each tar holds many samples. Per-sample files share a key (the sample_id):

Suffix	Content
`meta.json`	camera poses, intrinsics, timestamps, target camera name
`t0.<cam>.jpg`, `t1.<cam>.jpg`	6 camera views per timestamp
`lidar.npz`	dense world-frame point cloud (xyz, intensity)
`target.<cam>.jpg`	ground-truth target image (train only)

Streaming usage

import webdataset as wds
url = "https://huggingface.co/datasets/MHDCSM/cv_ds_all/resolve/main/train-{000000..NNNNNN}.tar"
ds = wds.WebDataset(url).decode()
for sample in ds:
    meta = sample["meta.json"]
    img  = sample["t0.front.jpg"]