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190K+ Robot Cleaner View Images – Indoor Scene Dataset for Object Recognition
robot cleaner dataset
indoor scene image dataset
robot vacuum view dataset
household object detection dataset
floor-level vision dataset
computer vision indoor images
robotic vision dataset
AI for cleaning robots
robot perspective dataset
This dataset contains 190,426 high-resolution images captured from the perspective of robot vacuum cleaners operating in diverse indoor environments. It includes multiple rooms, lighting conditions, time periods, and shooting angles, covering a wide variety of household items and layouts. The data is ideal for training and evaluating models in household object detection, robotic visual navigation, and computer vision tasks for smart home systems and autonomous cleaning robots. All data complies with GDPR, CCPA, and PIPL privacy regulations.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
190,426 images and corresponding annotation files
Collecting environment
indoor scenes
Data diversity
multiple scenes, different time periods, different photographic angles, different categories of items
Device
cellphone
Data format
.jpg
Accuracy
the accuracy of label annotation is not less than 97%
Annotation types
18 categories including fabrics, cables, bases, etc.
What types of computer vision applications can Nexdata’s datasets support?
Nexdata’s computer vision datasets support a wide range of AI applications, including image classification, object detection, image segmentation, facial and human-related recognition, scene understanding, autonomous driving, and other visual perception tasks. Depending on the dataset, data may include images, videos, bounding boxes, polygons, keypoints, segmentation masks, text annotations, and other structured labels.
Can Nexdata customize Computer Vision datasets based on our specific requirements?
Yes. If our off-the-shelf Computer Vision datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target objects, environments, scenarios, camera specifications, geographic locations, data volume, annotation formats, and quality standards to support specific model training and evaluation needs.
How does Nexdata ensure the quality and scalability of its Computer Vision datasets?
Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. Depending on project requirements, we can implement customized annotation guidelines, multi-level reviews, consistency checks, and quality sampling to ensure dataset accuracy and consistency. Our data collection and processing capabilities can also be scaled to support large-volume Computer Vision projects.
Specifications
Sample
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