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Liquid Stain Dataset from Robot Cleaner View – 76,117 Indoor Images for Computer Vision
liquid stain dataset
robot cleaner dataset
indoor vision dataset
vacuum robot training data
robotic perception data
floor stain images
CV dataset
AI for cleaning robot
stain detection dataset
robot view dataset
This dataset includes 76,117 high-resolution images of liquid stains captured from the perspective of robotic cleaners in various indoor environments. The dataset features rich diversity in terms of room types, lighting conditions, angles, stain categories, and time of day. Designed for tasks such as stain detection, floor condition analysis, and robotic vision model training, this data helps improve perception and navigation capabilities for cleaning robots and other autonomous indoor systems. Suitable for machine learning, computer vision research, and commercial cleaning AI applications.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
76,117 images
Collecting environment
indoor scene
Data diversity
multiple scenes, different time periods, different photographic angles, different categories of items
Device
cellphone
Collecting time
day, night
Data format
.jpg, .json
Accuracy
The accuracy of label annotation is not less than 97%
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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