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BDD100K
2D Box
2D Semantic Segmentation
Classification
2D Instance Segmentation
2D Polyline
2D Polygon
Autonomous Driving
|...
License: Custom

Overview

Video Data

Explore 100,000 HD video sequences of over 1,100-hour driving experience across many different
times in the day, weather conditions, and driving scenarios. Our video sequences also include
GPS locations, IMU data, and timestamps.

Road Object Detection

2D Bounding Boxes annotated on 100,000 images for
bus, traffic light, traffic sign, person, bike, truck, motor, car, train, and rider.

Instance Segmentation

Explore over 10,000 diverse images with pixel-level and rich instance-level annotations.

Driveable Area

Learn complicated drivable decision from 100,000 images.

Lane Markings

Multiple types of lane marking annotations on 100,000 images for driving guidance.

Data Preview

Label Distribution

Citation

Please use the following citation when referencing the dataset:

@inproceedings{yu2020bdd100k,
  title={BDD100K: A diverse driving dataset for heterogeneous multitask learning},
  author={Yu, Fisher and Chen, Haofeng and Wang, Xin and Xian, Wenqi and Chen, Yingying and
Liu, Fangchen and Madhavan, Vashisht and Darrell, Trevor},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2636--2645},
  year={2020}
}

License

Custom

Data Summary
Type
Video, GPS,
Amount
100K
Size
6.42GB
Provided by
UC Berkeley
The University of California, Berkeley is a public research university in Berkeley, California. Established in 1868 as the state's first land-grant university, it is the oldest campus of the University of California system and a founding member of the Association of American Universities.
| Amount 100K | Size 6.42GB
BDD100K
2D Box 2D Semantic Segmentation Classification 2D Instance Segmentation 2D Polyline 2D Polygon
Autonomous Driving
License: Custom

Overview

Video Data

Explore 100,000 HD video sequences of over 1,100-hour driving experience across many different
times in the day, weather conditions, and driving scenarios. Our video sequences also include
GPS locations, IMU data, and timestamps.

Road Object Detection

2D Bounding Boxes annotated on 100,000 images for
bus, traffic light, traffic sign, person, bike, truck, motor, car, train, and rider.

Instance Segmentation

Explore over 10,000 diverse images with pixel-level and rich instance-level annotations.

Driveable Area

Learn complicated drivable decision from 100,000 images.

Lane Markings

Multiple types of lane marking annotations on 100,000 images for driving guidance.

Data Preview

Label Distribution

Citation

Please use the following citation when referencing the dataset:

@inproceedings{yu2020bdd100k,
  title={BDD100K: A diverse driving dataset for heterogeneous multitask learning},
  author={Yu, Fisher and Chen, Haofeng and Wang, Xin and Xian, Wenqi and Chen, Yingying and
Liu, Fangchen and Madhavan, Vashisht and Darrell, Trevor},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2636--2645},
  year={2020}
}

License

Custom

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