# A2D2

Instance segmentation of road users from the Audi Autonomous Driving Dataset (A2D2): 38,554 frames from the six cameras of an Audi Q7 e-tron, with every car, pedestrian, truck, bicycle, small vehicle, utility vehicle and tractor outlined as a polygon.

## Overview

- Type: public computer vision dataset
- Images: 38,554
- Classes: 7
- Annotation types: polygon
- Tasks: Segmentation (https://pictograph.io/explore/task/segmentation)
- Owner: Pictograph Research
- License: Creative Commons Attribution-NoDerivatives 4.0 (https://creativecommons.org/licenses/by-nd/4.0/)
- Source: A2D2 (https://a2d2-dataset.github.io), created by Audi AG (Geyer et al., 2020). Credit the original authors when you use this data.
- Stars: 1
- Page: https://pictograph.io/datasets/pictograph-research/a2d2
- Hugging Face: https://huggingface.co/datasets/pictograph/a2d2
- Export formats: Pictograph JSON, Darwin V7, COCO, YOLO, YOLO-OBB, YOLO-Pose, DOTA, Pascal VOC, CVAT, Datumaro, LabelMe, CSV

## Classes

- car
- pedestrian
- truck
- small vehicle
- utility vehicle
- bicycle
- tractor

## About

# A2D2

> A public computer-vision dataset of 38,554 images with 549,965 annotations across 7 classes, annotated as polygon.

**[Pictograph Research](/org/pictograph-research)** · [CC-BY-ND-4.0](https://creativecommons.org/licenses/by-nd/4.0/) · Public · Updated 2026-10-30

## Overview

This dataset holds **38,554 images** annotated as polygon across 7 classes. The most common auto-detected tags are eye-level view, road, driving, highway, wide angle, car. It is ready to import into a workspace, export in a dozen formats, or train a model on.

## At a glance

| Metric | Value |
| :--- | ---: |
| Images | 38,554 |
| Annotations | 549,965 |
| Classes | 7 |
| Annotation types | polygon |
| Folders | 67 |
| Storage | Standard |
| Visibility | Public |

## What's in these images

Tags auto-detected across the dataset, most common first.

| Tag | Category | Images |
| :--- | :--- | ---: |
| eye-level view | Attributes | 35,951 |
| road | Objects | 34,793 |
| driving | Attributes | 34,108 |
| highway | Scenes | 30,677 |
| wide angle | Attributes | 21,173 |
| car | Objects | 16,572 |
| top-down view | Attributes | 14,575 |
| overcast | Attributes | 10,989 |
| crosswalk | Objects | 10,715 |
| truck | Objects | 10,562 |
| sidewalk | Objects | 9,159 |
| parking lot | Scenes | 8,794 |
| traffic light | Objects | 8,702 |
| panoramic | Attributes | 7,570 |
| bus | Objects | 4,216 |

## Use this dataset

```python
from pictograph import Client, Dataset

client = Client()  # reads PICTOGRAPH_API_KEY
dataset: Dataset = client.datasets.get("A2D2")
print(dataset.image_count, dataset.annotation_count)
```

- Import it into your own workspace with one click from its page.
- Pull it with the [Pictograph SDK](https://pictograph.io/docs/api-reference/datasets) (shown above) or the CLI.
- [Export](https://pictograph.io/docs/export-conversion) to COCO, YOLO, Darwin V7, Pascal VOC, and more.
- [Train a model](https://pictograph.io/docs/guides/train) directly from an export.

## License

Released under [CC-BY-ND-4.0](https://creativecommons.org/licenses/by-nd/4.0/).

## Source

The images and annotations come from [A2D2](https://a2d2-dataset.github.io), created by Audi AG (Geyer et al., 2020) and released under [CC-BY-ND-4.0](https://creativecommons.org/licenses/by-nd/4.0/). Please credit the original authors when you use this data.


---

Free to view. Sign in at https://app.pictograph.io to import this dataset, re-annotate it with SAM3, or export it.