tensorflow / tensorflow/datasets
[data request] Berkeley DeepDrive
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- Dominant language
- Python
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Description
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Name of dataset: Berkeley DeepDrive
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URL of dataset: https://bdd-data.berkeley.edu
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License of dataset: Commercial use prohibited (see website).
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Short description of dataset and use case(s): 100,000 HD video sequences of over 1,100-hour driving experience across many different times in the day, weather conditions, and driving scenarios. Includes GPS locations, IMU data, and timestamps. 2D Bounding Boxes annotated on 100,000 images for bus, traffic light, traffic sign, person, bike, truck, motor, car, train, and rider.
Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing how existing datasets are added to tensorflow/datasets and check the Berkeley DeepDrive license and access requirements. The request names no builder, test, or implementation entry point, so the completed scope would need to be established before coding.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100