πApple Machine Learningβ’Stalecollected in 15h
Apple Bootstraps Sign Lang Annotations
#sign-language#pseudo-labeling#annotation-pipelinesign-language-pseudo-annotation-pipelineappleasl-stem-wikifleurs-asl
π‘Apple's pipeline unlocks 100s of sign lang video hours for AI trainingβscale annotations cheaply
β‘ 30-Second TL;DR
What Changed
Pseudo-annotates glosses, fingerspelling, and classifiers
Why It Matters
Accelerates sign language AI by unlocking partially annotated datasets. Boosts accessibility tech, potentially improving real-world interpretation tools.
What To Do Next
Implement the pipeline on FLEURS-ASL dataset to bootstrap your sign language model training.
Who should care:Researchers & Academics
Key Points
- β’Pseudo-annotates glosses, fingerspelling, and classifiers
- β’Inputs signed video and English for time-interval outputs
- β’Targets datasets like ASL STEM Wiki and FLEURS-ASL
- β’Reduces costs for large-scale sign language data prep
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Original source: Apple Machine Learning β