This Off-The-Shelf (OTS) dataset offers a high-quality collection of real-world egocentric (first-person perspective) cloth folding activity video recordings, designed to support the development of advanced computer vision, human activity recognition, action segmentation, behavior analysis, and AI-powered video intelligence systems.
Industry
Duration
Individuals
This Off-The-Shelf (OTS) dataset offers a high-quality collection of real-world egocentric (first-person perspective) cloth folding activity video recordings, designed to support the development of advanced computer vision, human activity recognition, action segmentation, behavior analysis, and AI-powered video intelligence systems.
Captured from a wearable first-person perspective, this dataset reflects realistic human interactions during cloth handling, folding workflows, garment organization, and domestic task execution. It enables AI systems to better understand fine-grained hand movements, object manipulation patterns, sequential task execution, and contextual behavior in real-world household environments.
This dataset is ideal for training and evaluating models focused on human activity recognition, hand-object interaction analysis, smart home automation, robotic task learning, and workflow behavior modeling.
Each participant's recording is enriched with structured metadata to improve model accuracy and contextual understanding.
Available metadata may include:
This metadata supports improved segmentation, behavioral understanding, and robust AI model development.
These specifications ensure compatibility with enterprise AI development and computer vision pipelines.
The dataset contains 4000 hours of realistic first-person cloth folding activity recordings captured in natural household environments.
Covered scenarios may include:
The egocentric perspective enables precise observation of hand movements and object interactions, making the dataset valuable for advanced AI applications involving task recognition and manipulation learning.
Annotation support may include:
Supported annotation formats:
Custom annotation schemas can be provided depending on project requirements.
Exclusively curated by Macgence, this egocentric cloth folding dataset is available for commercial AI development, research initiatives, enterprise computer vision applications, and machine learning model training.
Flexible licensing options can be customized based on business requirements.
To maintain long-term value and project relevance, this dataset can be expanded with fresh recordings and customized activity scenarios.
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.
Egocentric Dataset
Cloth Folding Dataset
Robotics Dataset
Action Recognition
Annotated Video Dataset
Hand Object Interaction
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