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  3. MATCHA: Multimodal Annotation, Task Curation & Human Assessment
Pablo Peillard44 minutes agoNewcomerJudging locked: Event build

MATCHA: Multimodal Annotation, Task Curation & Human Assessment

MATCHA helps researchers turn video archives into datasets for training and evaluation

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Start with the source code, then open the demo or video if available.

Tools used
  • VDVAST Data
  • S(SpaceXAI (Cursor)
  • C(CoreWeave (Weights & Biases)
  • NNVIDIA
View GitHub repository
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Project description
Robotics research needs datasets with verifiable diversity across environments, objects and actions. MATCHA helps researchers turn video archives into curated, labeled datasets for training and evaluation. Researchers describe the footage they need in plain language, inspect matching clips and objects at scale, identify coverage gaps and overrepresented scenarios, and edit labels in bulk. By making dataset composition visible and measurable, MATCHA helps teams build balanced datasets and export versioned collections with clear annotations and documented coverage. app password is: theyarecoming
Project links
  • GitHub repository
  • Project website
Tools used
  • VDVAST Data
  • S(SpaceXAI (Cursor)
  • C(CoreWeave (Weights & Biases)
  • NNVIDIA