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BDD100K MOT2020
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update dataset overview and ba...
24aaafe·
Feb 10, 2022 7:40 AM
·2Commits

Overview

The BDD100K MOT2020 is a dataset with multi-object bounding box tracking tasks. The videos are a subset of the 100K videos, but they are resampled to 5Hz from 30Hz.

DataFormat

Folder Structure

BDD100K_MOT2020
├── images
│   ├── test
│   │   ├── cabc30fc-e7726578
│   │   │   ├── cabc30fc-e7726578-0000001.jpg
│   │   │   └── ...
│   │   └── ...
│   ├── train
│   └── val
└── labels
    ├── train
    │   ├── 00a0f008-3c67908e.json
    │   └── ...
	└── val

Citation

@InProceedings{bdd100k, author = {Yu, Fisher and Chen, Haofeng and Wang, Xin and Xian, Wenqi and Chen, Yingying and Liu, Fangchen and Madhavan, Vashisht and Darrell, Trevor}, title = {BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2020} }

Data Preview
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🎉Many thanks to Hello Dataset for contributing the dataset
Basic Information
Application ScenariosAutonomous Driving
AnnotationsBox2D Tracking
TasksObject Tracking
LicenseCustom
Updated on2022-02-11 08:10:35
Metadata
Data TypeImage
Data Volume397,688
Annotation Amount318,052
File Size45.18GB
Copyright Owner
UC Berkeley
Annotator
Unknown