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Self-Promotion

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•3mo ago
Layer for robotics dataset quality and intelligent data curation
... Hello Guys, I built Calibra a layer for robotics dataset quality and intelligent data curation We are exploring how teams can automatically audit data quality, detect problematic demonstrations.Therefore you can build smaller and high-quality training sets before spending GPU time. So you can reduce your training costs up to %70. We are looking for design partners to help shape the Calibra

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Self-Promotion

p/self-promotion

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•3mo ago
I built an open-source tool that finds bad robot demonstrations before training
... been building Calibra, an open-source dataset observability and coreset optimization tool for robot learning. It checks things like timestamps, duplicate/frozen frames, blurry cameras, jerky motion, action-state divergence, quality, and behavioral coverage. The interesting part is the optimization side: across several public robotics datasets, we've found that quality-aware selection can preserve model performance while using substantially less training data than the full dataset or random selection. I recently had someone try it on their real robotics dataset ... ... inspect the episodes Calibra

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