[Feature Request] LMDB Dataset for ImageNet
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- Dominant language
- Python
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Description
Is it possible to support LMDB for ImageNet as this one https://github.com/pytorch/vision/blob/master/torchvision/datasets/lsun.py#L22. One benefit is that we do not need to save 1.28 M small images on the disk, instead, we can save the whole ImageNet into one single file (maybe several files).
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 with torchvision/datasets/lsun.py at the linked LMDB example, then locate the ImageNet dataset entry point and its existing tests. Determine the intended storage and loading behavior for one or several LMDB files. Done means ImageNet can be consumed through the proposed LMDB format without breaking the existing dataset behavior, with coverage for the new path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100