LAION-AI / LAION-AI/dataset-tasks
Affectnet
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Description
http://mohammadmahoor.com/affectnet/
Neutral, Happy, Sad, Surprise, Fear, Anger, Disgust, Contempt, None, Uncertain, and Non-face. The None (“None of the eight emotions”) category is the type of expression/emotions (such as sleepy, bored, tired, seducing, confuse, shame, focused, etc.
—> concatenate all emotional categories and keywords, … except the emotion None … (add all other keywords in that sample, but not ‘none’)
skip the Non-Face samples
For arousal and valence, add “Arousal: 0.43” and “Valence: -0.17” (fill in the actual values ;) )
Contributor guide
No contributing guide indexed for this repository
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 files, tests, or entry points are mentioned. Start by inspecting the repository's conventions for downloading and converting datasets, then use the linked AffectNet description to determine the source fields and expected standard format. Done means converted samples include the requested emotion keywords plus arousal and valence, while excluding Non-face samples and the None category.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100