---
annotations_creators: []
language: en
license: cc-by-4.0
size_categories:
- n<1K
task_categories: []
task_ids: []
pretty_name: hard_intersection_video
tags:
- 3d
- autonomous-driving
- camera
- fiftyone
- group
- group
- hdmap
- intersection
- lanelet2
- lidar
- multimodal
- point-cloud
- trajectory
- urban-driving
- video
description: Hard Intersection Multimodal Sample is a curated multimodal dataset of
  an accident-prone six-way urban intersection in Tokyo, Japan (Takanawadai) captured
  with an industrial mobile mapping system. The dataset provides synchronized multi-camera
  views, LiDAR point clouds, vehicle trajectories, HD maps in multiple formats, and
  semantic annotations for autonomous driving research.
dataset_summary: '




  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 4 samples.


  ## Installation


  If you haven''t already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  from fiftyone.utils.huggingface import load_from_hub


  # Load the dataset

  # Note: other available arguments include ''max_samples'', etc

  dataset = load_from_hub("harpreetsahota/hard-intersection-multimodal-sample")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

  '
---

# Dataset Card for hard_intersection_video

<!-- Provide a quick summary of the dataset. -->





This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 4 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/hard-intersection-multimodal-sample")

# Launch the App
session = fo.launch_app(dataset)
```


## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** en
- **License:** cc-by-4.0

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

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### Direct Use

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[More Information Needed]

### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

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### Source Data

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#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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[More Information Needed]

#### Who are the annotators?

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[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

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[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

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**APA:**

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## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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