VGGFace2 dataset
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- Dominant language
- Python
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Description
@fmassa how would you like to go about this?
Currently, I preprocess VGGFace2 by cropping out the face from each image using the provided bounding box csv. After doing that, I load it as an ImageFolder dataset.
VGGFace2 also has a bunch of other CSVs that annotate gender, age group, and facial landmarks.
I propose we allow users to specify the targets they want (such as ID, gender, age, bounding box etc.) and have a crop_bb=False if they only want the face.
What do you think?
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 VGGFace2 is currently represented and how its bounding-box CSV is used with ImageFolder. Define the desired dataset interface for selecting ID, gender, age, landmarks, or bounding-box targets, including the crop_bb=False behavior; the work is done when those annotation choices are supported and documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100