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Household Desktop Object Recognition Dataset
Synthetic Images & Vision Datasets
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£8,000
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Description：
This dataset comprises high-resolution images (1920×1080, RGB color space) of household desktops captured in real domestic environments under natural lighting conditions. The images depict a variety of object types arranged on desktops, including daily necessities, stationery, and electronic devices. The scenes exhibit diverse layouts, simulating real-life scenarios of home usage.
Designed primarily for object recognition and spatial reasoning tasks, this dataset supports applications such as desktop object identification, virtual assistant visual modules, and object displacement tracking in household settings.
The dataset is fully annotated, featuring both bounding box annotations (in VOC XML format) for static object detection and state annotations where applicable—such as identifying whether an object has been moved. It covers approximately 30 common household object categories, including but not limited to phones, cups, pens, remote controls, books, and charging cables.
Data was captured using fixed-position cameras and mobile phone cameras (please confirm specific devices). Scene variations include different furniture types, lighting angles, and object arrangements. A portion of samples specifically includes sequences or pairs showing object movement, enhancing the dataset's utility for temporal state change detection.
This dataset is ideal for training and validating models in computer vision applications focused on indoor environments, especially those requiring precise detection and categorization of small-scale, diverse items in cluttered settings.
This dataset contains over 20,000 high-quality annotated images.The estimated price is approximately €8,000, and can be adjusted based on delivery format, licensing scope, and customization requirements.
Keywords: desktop organization object recognition
Sector: Smart Home, Consumer AI, Indoor Robotics, Assistive Vision
Metrics: Object Detection Accuracy, Bounding Box IoU, State Classification Accuracy
Entities: Stationery, Electronics, Household Items
Price Range (USD): 4000–20000
Source type: Synthetic data generation from simulation environment, human annotation
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Additional Notes & Services
Usage Policy: Please adhere to all ethical standards and privacy regulations. Preprocessing may be required.
- Actively Maintained: This dataset is continuously updated. Contact us for the latest version.
- Full Customization Available: We can tailor image formats, annotations, and other specs to your project needs.
- Flexible Delivery: We offer split packages and delivery via private server or cloud storage.
- Free Sample Package: Available for qualified buyers to verify data quality.
- Contact Us: For inquiries, customization, or samples, email us at contact@join-intelligence.com.
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