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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score54

Perceptron AI introduces EgoHome benchmark for understanding hand actions in chore videosMachine translation

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EgoHome uses human-annotated household-chore videos, recording hand positions, subtasks and actions for each clip. It includes over 750 segments shorter than 500 milliseconds, and its data, metrics and judge prompts are open. A related post says GPT-6 Astra ranked first on the benchmark, but the material gives no scores or margin over other models.

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https://t.co/IDzWJcTwbj https://t.co/k7U2E8qcHI

ReplyRohan Paul@rohanpaul_ai
GPT-6 Astra came out on top in EgoHome, a new benchmark from Perceptron AI, that tests whether AI can follow what human hands do in chore videos, the skill robots need to learn from people. AI can tell you someone is washing dishes, but not what their hands are doing, and robots need the second part. This kind of benchmarks are so important because Robotics training now happen on large amounts of human video, and AI is used to label those videos automatically (“left hand picks up sponge, right hand turns tap”). If those labels are wrong, the robots learn wrong. https://t.co/t5gL9ZYYmU
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Related contextPerceptron AI@perceptroninc
Introducing EgoHome: a new open benchmark for dense, sub-second egocentric understanding. Human-annotated household-chore video with 4 annotation types on every clip: hand boxes, subtasks, hand actions, hand captions. It features over 750 segments under 500ms. Data, metrics, and judge prompts are all open. 🧵
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Source: Rohan Paul · x.com

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