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

[Yashsharma009]

• 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.

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• 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.

[ccl-core]

Thank you @Yashsharma009 for opening the issue! Just to understand, are you planning on adding the dataset implementation yourself, or is this open for the community to tackle?