Indoor Egocentric Chores Video Dataset

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AI/ML

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About this role

Video Services, 3D Rendering, 3D Modelling, Video Production, Video Editing, Computer Vision, Data Collection, Data Annotation · I need a set of high-quality egocentric videos recorded indoors while you perform everyday household chores. The footage will be used to train computer-vision models, so natural head- or chest-mounted point-of-view is essential and camera shake must stay true to a normal human gait.

Scope of recording • Location: any typical indoor home setting—kitchens, living rooms, bedrooms, laundry rooms, garages, etc. • Activities: cleaning, cooking, washing dishes, folding clothes, making beds, organizing shelves, sweeping, vacuuming and similar routine chores. Feel free to vary lighting conditions and rooms so the final dataset is diverse. • Perspective: first-person only; no third-person shots. • Duration: target 30–60 minutes of usable footage per participant, delivered as multiple shorter clips is fine. • Format: 1080p or higher, 30 fps+, H.264 or H.265, with original audio. No post-processing besides trimming obvious dead time. • Privacy: record only yourself and items you own; remove any personal identifiers you don’t wish to share. Written consent that I can use the footage for machine-learning research is required.

Deliverables 1. Raw video files. 2. A simple CSV/J