Mobile Data Acquisition & CV Solutions
In today’s data economy and development-driven projects, data forms the foundation of success. Rundata is dedicated to delivering high-accuracy, reliable, fast, and easy to use geospatial data solutions. Our comprehensive data acquisition and surveying services enable efficient planning and smooth operations across a wide range of sectors.
Image Segmentation
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AI-driven land use and vegetation segmentation
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Extraction of roads, waterbodies, from high-resolution images
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Accurate image segmentation for enhancing disaster management
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Pixel-level satellite image analysis
Natural Language Processing
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AI-based location detection from unstructured datasets
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NLP-driven mapping of historical and cultural landmarks
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Automated processing of spatial data using language models
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Extraction and analysis of geospatial information from text for land records and surveys
Data Annotation
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Accurate annotations to support location-aware AI systems
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Enhanced spatial accuracy for smart city development
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Geospatial data labeling for mapping applications
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Tagging of satellite and aerial imagery for spatial analysis
Audio Annotation
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Annotation of sensor-based audio data for smart city sound mapping
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Noise pollution assessment using AI-based models
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Geospatial audio tagging for environmental monitoring
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Acoustic pattern recognition for wildlife tracking
Video Annotation
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Object tracking in aerial and drone surveillance videos
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Automated labeling for urban development and traffic studies
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Change detection in terrain using time-series GIS data
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AI-based object detection in geospatial video streams
Medical Annotation
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Remote sensing for public health surveillance
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Geospatial satellite data interpretation for health risk evaluation
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AI-driven medical data analysis to identify geographic health trends
Key Point Annotation
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Critical infrastructure point identification from satellite data
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Tracking human and vehicle movement in GIS systems
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AI-driven point annotation for disaster management and emergency response
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Detection of key landmarks for geospatial feature recognition
Content Annotation
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Labeled content to enhance geospatial research
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Classification of aerial and satellite images for AI model training
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Contextual labeling of environmental and climate datasets
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Structured metadata tagging for GIS data and map layers
Image Annotation
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Remote sensing object detection
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Building & land cover classification
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Annotation of high-resolution aerial images for GIS mapping
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AI model training for disaster management and risk analysis
