Core Insights - The article discusses the launch of Egocentric-10K, the largest human-centric dataset, which consists of 1 billion frames collected from 2,153 workers over 10,000 hours in real factory settings [2][11][9] - This dataset significantly expands the scope of previous datasets like EPIC-KITCHENS, focusing on real-world factory operations rather than domestic environments [4][14] - The dataset aims to enhance the development of embodied intelligence by providing high-quality human data for robotic learning [25][26] Dataset Overview - Egocentric-10K includes 1 billion frames, 19.2 million video clips, and has a total size of 16.4TB [11] - It features a high percentage of hand visibility and active manipulation, with 76.34% of frames showing two hands and 91.66% involving active manipulation [5][15][16] - The dataset's video quality is superior, recorded at 1080p, 30fps, with a field of view of 128°×67°, compared to older datasets [17] Market Reception - Within three days of its release, Egocentric-10K achieved over 13,000 downloads on Hugging Face and topped the trending charts [5] - The dataset has garnered positive feedback from the community, highlighting its potential impact on AI and robotics [7] Company Background - Egocentric-10K is developed by Build AI, a startup founded by 18-year-old Eddy Xu, who previously dropped out of Columbia University to focus on AI entrepreneurship [9][31] - Build AI aims to create scalable and economically valuable human-centric datasets, emphasizing quantity and accessibility [32] Competitive Landscape - The dataset positions itself against other human-centric initiatives, such as Tesla and domestic players like Itstone Zhihang, which also focus on human data for robotic learning [25][26] - The article contrasts human-centric data with traditional machine data, noting the cost-effectiveness and scalability of human data collection [26]