This Off-The-Shelf (OTS) dataset provides a comprehensive collection of real-world egocentric (first-person perspective) household cleaning activity video recordings, curated specifically to support the development of advanced computer vision, activity recognition, action detection, behavior analysis, and AI-powered video analytics solutions.
Industry
Duration
Individuals
This Off-The-Shelf (OTS) dataset provides a comprehensive collection of real-world egocentric (first-person perspective) household cleaning activity video recordings, curated specifically to support the development of advanced computer vision, activity recognition, action detection, behavior analysis, and AI-powered video analytics solutions.
Captured from a first-person wearable camera perspective, this dataset reflects authentic human interactions during household cleaning routines, enabling AI systems to understand realistic movement patterns, object interactions, workflow execution, and contextual scene understanding in domestic environments.
This dataset is highly suitable for training and evaluating models for human activity recognition, object interaction analysis, workflow automation, smart home intelligence, and behavior understanding applications.
Each recording is accompanied by structured metadata to improve training precision and downstream AI performance.
Available metadata may include:
This metadata enables enhanced contextual analysis, segmentation, and model optimization.
These specifications ensure compatibility with modern AI model development workflows.
The dataset contains 5000 hours of high-quality first-person cleaning activity recordings collected in realistic household environments.
Covered activity scenarios may include:
The egocentric perspective enables highly realistic AI training for action recognition and behavior understanding use cases.
Annotation Details
Annotation support may include:
Supported annotation formats:
Custom annotation schemas can also be supported based on project needs.
Exclusively curated by Macgence, this egocentric household cleaning dataset is available for commercial AI development, research applications, and enterprise computer vision training use cases.
Licensing models can be customized depending on deployment requirements.
To ensure long-term relevance and scalability, the dataset can be updated with fresh real-world recordings and expanded activity coverage.
Customization options include:
At Macgence, we provide production-ready AI datasets tailored for modern machine learning and computer vision applications.
Tailored Solutions: Your project is unique, and we understand that. We'll customize everything to align precisely with your objectives.
Versatile Data: Our dataset spans a broad spectrum of applications within the finance sector, encompassing speech recognition, natural language processing, and beyond.
Ongoing Support: We're committed to providing continuous assistance throughout your project lifecycle. Our dataset is regularly refreshed with new recordings, and our team remains readily available to offer guidance and support whenever needed.
Transparent Licensing: Utilize our dataset for commercial purposes with confidence. Our transparent and straightforward licensing terms ensure clarity and peace of mind for your organization.
Comprehensive Assistance: Besides data provisioning, we offer a suite of supplementary services to augment your project. Whether it entails sourcing additional data, conducting meticulous labeling, or tailoring datasets to align with your project specifications, we're equipped to provide comprehensive support.
Choose Macgence for your AI development needs and unlock the full potential of our tailored solutions and expertise.
Cleaning Dataset
Robotics Dataset
Egocentric
Household Cleaning Dataset
Cleaning Behavior Dataset
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