---
title: RoScenes-release
canonical_url: "https://www.modelscope.cn/datasets/Apsara_Lab_Multimodal_Intelligence/RoScenes-release"
md_url: "https://www.modelscope.cn/datasets/Apsara_Lab_Multimodal_Intelligence/RoScenes-release.md"
repository: Apsara_Lab_Multimodal_Intelligence/RoScenes-release
last_updated: 2024-07-16
license: GPL-3.0
storage_size: "560 GB"
domain:
  - configs
  - size_scale
  - resolutions
  - encoding
  - color_space
tasks:
  - "{config_name=default, data_files=[{split=train, path=train/}, {split=test, path=test/}, {split=validation, path=validation/}]}"
  - ">1m"
  - "1920 x 1080"
  - jpeg
  - rgb
downloads: 20149
stars: 1
---

# RoScenes-release

> RoScenes-release - Apsara_Lab_Multimodal_Intelligence 在 ModelScope 开源的数据集。Dataset Card of RoScenes

Apsara_Lab_Multimodal_Intelligence/RoScenes-release 是 ModelScope 魔搭社区上的{config_name=default, data_files=[{split=train, path=train/}, {split=test, path=test/}, {split=validation, path=validation/}]}、>1m、1920 x 1080数据集，涉及 configs、size_scale、resolutions 领域，存储大小 560 GB，采用 GPL-3.0 许可。

- **Repository**: Apsara_Lab_Multimodal_Intelligence/RoScenes-release
- **License**: GPL-3.0
- **Tasks**: {config_name=default, data_files=[{split=train, path=train/}, {split=test, path=test/}, {split=validation, path=validation/}]}, >1m, 1920 x 1080, jpeg, rgb
- **Domain**: configs, size_scale, resolutions, encoding, color_space
- **Storage size**: 560 GB
- **Downloads**: 20149
- **Stars**: 1
- **Last updated**: 2024-07-16

Source: https://www.modelscope.cn/datasets/Apsara_Lab_Multimodal_Intelligence/RoScenes-release

---

## Dataset Card of RoScenes

For detailed information, please refer to https://roscenes.github.io and https://github.com/roscenes/RoScenes

### Download instructions

**NOTE: Storage usage: [train: 370GB / validation: 95 GB / test: 150GB]**

1. Download all the raw `[SPLIT]/[SPLIT]-parts[N].tar` into your local storage (`SPLIT` could be `train/validation/test`), you can follow the official instructions:

:modelscope-code[]{type="sdk"}
:modelscope-code[]{type="git"}

2. If you just want to download partial of files, you could use the `skip-smudge` feature of Git LFS:

```bash
# skip cloning LFS files
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/datasets/Apsara_Lab_Multimodal_Intelligence/RoScenes-release.git

cd RoScenes-release

# init Git LFS
git lfs install --skip-smudge

# manually pull files you want, for example, --include="train/*"
git pull --include=[PATTERN]
```

3. Prepare another folder as the `DATA_ROOT`.
4. Then, extract the tars one by one, do not use `cat`. For example, for the training set:
```bash
#!/bin/bash
for file in train/train-parts{0..19}.tar; do
    echo "extracting $file...";
    tar -xf $file -C [DATA_ROOT];
done
```
5. Check the resulting `DATA_ROOT`, it should be organized as follows:

```yaml
. [DATA_ROOT] # Dataset root folder
├── 📂train # training set
│   ├── 📂s001_split_train_difficulty_mixed_ambience_day # scene 001's data
│   │   ├── 📂database # annotations, grouped by clip
│   │   │   ├── 📂0076fd69_clip_[0000000000000-0000000029529] # a clip's database, please use our devkit to read
│   │   │   └   ...
│   │   └── 📂images # images, grouped by clips
│   │       ├── 📂0076fd69
│   │       └   ...
│   ├── 📂s002_split_train_difficulty_mixed_ambience_day
│   ├── 📂s003_split_train_difficulty_mixed_ambience_day
│   ├── 📂s004_split_train_difficulty_mixed_ambience_day
│   └── 📂night_split_train_difficulty_mixed_ambience_night
│
│
├── 📂validation # validation set
│   ├── 📂s001_split_validation_difficulty_mixed_ambience_day # scene 001's data
│   ├── 📂s002_split_validation_difficulty_mixed_ambience_day
│   ├── 📂s003_split_validation_difficulty_mixed_ambience_day
│   ├── 📂s004_split_validation_difficulty_mixed_ambience_day
│   └── 📂night_split_validation_difficulty_mixed_ambience_night
│
│
└── 📂test # test set
    ├── 📂NO_GTs005_split_test_difficulty_mixed_ambience_day # scene 005's data
    ├── 📂NO_GTs006_split_test_difficulty_mixed_ambience_day
    ├── 📂NO_GTs007_split_test_difficulty_mixed_ambience_day
    ├── 📂NO_GTs008_split_test_difficulty_mixed_ambience_day
    ├── 📂NO_GTs009_split_test_difficulty_mixed_ambience_day
    ├── 📂NO_GTs010_split_test_difficulty_mixed_ambience_day
    ├── 📂NO_GTs011_split_test_difficulty_mixed_ambience_day
    ├── 📂NO_GTs012_split_test_difficulty_mixed_ambience_day
    ├── 📂NO_GTs013_split_test_difficulty_mixed_ambience_day
    └── 📂NO_GTs014_split_test_difficulty_mixed_ambience_day

```


### Note

Commercial use of RoScenes is strictly forbidden.