[data request] <Berkeley DeepDrive Dataset(images)>

• Name of dataset:
• URL of dataset: https://bdd-data.berkeley.edu/portal.html
• License of dataset: <Copyright ©2018. The Regents of the University of California (Regents). All Rights Reserved.

THIS SOFTWARE AND/OR DATA WAS DEPOSITED IN THE BAIR OPEN RESEARCH COMMONS REPOSITORY ON 1/1/2021

Permission to use, copy, modify, and distribute this software and its documentation for educational, research, and not-for-profit purposes, without fee and without a signed licensing agreement; and permission to use, copy, modify and distribute this software for commercial purposes (such rights not subject to transfer) to BDD and BAIR Commons members and their affiliates, is hereby granted, provided that the above copyright notice, this paragraph and the following two paragraphs appear in all copies, modifications, and distributions. Contact The Office of Technology Licensing, UC Berkeley, 2150 Shattuck Avenue, Suite 510, Berkeley, CA 94720-1620, (510) 643-7201, otl@berkeley.edu, http://ipira.berkeley.edu/industry-info for commercial licensing opportunities.

IN NO EVENT SHALL REGENTS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF REGENTS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

REGENTS SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE AND ACCOMPANYING DOCUMENTATION, IF ANY, PROVIDED HEREUNDER IS PROVIDED "AS IS". REGENTS HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.>

• Short description of dataset and use case(s): <
  Short description of BDD10K dataset and use cases:

Content:

100,000 diverse driving scene images: Captures a wide range of real-world driving scenarios, including various weather conditions, locations, and traffic situations.
Rich annotations: Includes detailed object bounding boxes, lane markings, and drivable areas for comprehensive scene understanding.
Multiple tasks: Supports object detection, semantic segmentation, lane line detection, and more, enabling multifaceted research and development.
Common use cases:

Autonomous driving research: Used extensively for training and evaluating deep learning models for object detection, scene understanding, and control systems in autonomous vehicles.
Computer vision research: Serves as a benchmark for developing and testing new algorithms for tasks such as object segmentation, image classification, and image retrieval in various driving scenarios.
Robotics research: Facilitates research in navigation, path planning, and decision-making for autonomous robots operating in complex environments.
Multitask learning: The diverse tasks within BDD10K make it ideal for exploring techniques that can learn multiple tasks simultaneously, potentially improving model efficiency and performance.>

Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.

And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.

Start with the linked guide to adding a dataset in docs/add_dataset.md, then review the Berkeley DeepDrive Dataset portal and the supplied license and use cases. The work is complete when the dataset is added following the guide and its metadata, access details, and licensing information are represented accurately.