This Off-The-Shelf (OTS) dataset provides a large-scale collection of real-world egocentric (first-person perspective) dishwashing activity video recordings, specifically designed to support advanced computer vision, human activity recognition, action detection, behavior analysis, and AI-powered video analytics applications.
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This Off-The-Shelf (OTS) dataset provides a large-scale collection of real-world egocentric (first-person perspective) dishwashing activity video recordings, specifically designed to support advanced computer vision, human activity recognition, action detection, behavior analysis, and AI-powered video analytics applications.
Captured from a wearable first-person perspective, this dataset reflects realistic household dishwashing workflows, enabling AI systems to understand natural human interactions involving utensil handling, object manipulation, repetitive motion analysis, task sequencing, and environmental context understanding.
The dataset is highly suitable for AI model development focused on activity recognition, smart home automation, robotic learning, workflow monitoring, human behavior analysis, and object interaction recognition.
Each participant recording is enriched with structured metadata to improve AI training performance and contextual understanding.
Available metadata may include:
This metadata enables more accurate activity segmentation, workflow analysis, and contextual AI model training.
These specifications ensure compatibility with modern AI training pipelines and enterprise computer vision applications.
The dataset contains 5000 hours of high-quality first-person dishwashing activity recordings captured in authentic household kitchen environments.
Covered scenarios may include:
The egocentric perspective provides detailed visibility into hand movement patterns, object interactions, and workflow progression, making this dataset highly valuable for action recognition and smart environment AI systems.
Annotation support may include:
Supported annotation formats:
Custom annotation support can be provided based on project requirements.
Exclusively curated by Macgence, this egocentric dishwashing dataset is available for commercial AI development, enterprise computer vision deployment, machine learning model training, and research applications.
Licensing structures can be tailored based on deployment requirements.
To ensure long-term project scalability and relevance, this dataset can be expanded with fresh recordings and customized workflows.
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
First-Person Video Dataset
Dishwashing Dataset
Kitchen Activity Dataset
Activity Recognition Dataset
Robotics Dataset
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