tensorflow / tensorflow/datasets
[data request] Freiburg Scene Flow datasets
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dataset request
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
- 1
Description
- Name of dataset: Freiburg Scene Flow Datasets (aka Monkaa, FlyingThings3D, Driving, and "DispNet/FlowNet2.0" datasets)
- URL of dataset: https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html
- License of dataset: See above URL. "This dataset is provided for research purposes only and without any warranty. Any commercial use is prohibited. If you use the dataset or parts of it in your research, you should cite the aforementioned paper"
- Short description of dataset and use case(s): CG video snippets with pixelwise labels for object segmentation, material segmentation, disparity, disparity change, flow, and motion boundaries. Also includes framewise labels for camera pose.
These datasets all share the same data format, so the same code can be used to parse all of them.
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
No implementation file, test, or entry point is named. Start with the linked Freiburg Scene Flow Datasets page and review existing repository conventions for dataset additions. Done means the listed datasets can be parsed using their shared format, with the described labels and licensing or citation information represented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- computer-vision, data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100