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Robotics

Annotations for visual data used in training robotic perception systems, enabling smarter, more accurate automation

  • Object detection and segmentation for robotic manipulation and navigation

  • Pose estimation and keypoint labeling for human-robot interaction

  • Semantic segmentation of indoor and industrial environments

  • Trajectory and obstacle labeling for autonomous path planning

  • Multi-sensor data fusion annotation (camera, LiDAR, depth)

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Drone

High-precision annotation for drone-captured imagery to enable AI models used in aerial surveillance, mapping, and automation

  • Object detection and tracking (vehicles, people, infrastructure)

  • Land use and land cover classification

  • Bounding boxes and segmentation for buildings, roads, and vegetation

  • Change detection in time-series drone footage

  • Damage assessment for disaster response or insurance

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Satellite

Expert annotation services for satellite and aerial imagery to support AI-driven analysis in earth observation and geospatial applications

  • Land use and land cover classification (urban, agriculture, forest, water)

  • Object detection (buildings, roads, vehicles, ships, aircraft)

  • Change detection across time-series images (deforestation, urban expansion, natural disasters)

  • Cloud, shadow, and snow masking

  • Infrastructure and asset mapping for utilities and defense

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ADAS

Annotations for visual data used in training ADAS (Advanced Driver Assistance Systems), enabling safer, more intelligent driving experiences

 

  • Object detection and segmentation for identifying vehicles, pedestrians, cyclists, and road users

  • Lane marking annotation for lane departure warning, lane keeping, and path planning

  • Traffic sign and signal labeling for regulatory compliance and decision support

  • Obstacle and drivable area segmentation for real-time navigation and collision avoidance

  • Multi-sensor fusion annotation (camera, LiDAR, radar) for robust 3D perception and environmental understanding

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Fashion

  • Apparel type classification and segmentation for cataloging and search optimization

  • Attribute labeling for color, pattern, material, and fit to enable detailed product filtering and recommendation

  • Pose estimation and keypoint labeling for virtual try-on and fit accuracy

  • Pixel-level segmentation for background removal and precise garment isolation

  • Style classification and outfit matching to power fashion recommendation engines and trend analysis

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Traffic Analytics

Annotations for visual data used in training traffic analytics systems, enabling smarter urban planning and real-time traffic management

 

  • Vehicle detection and classification for traffic flow analysis and congestion monitoring

  • License plate recognition annotation for automated tolling and law enforcement

  • Pedestrian and cyclist labeling for safety analysis at intersections and crosswalks

  • Traffic signal and sign recognition for compliance tracking and intelligent control systems

  • Trajectory and movement path annotation for origin-destination mapping and behavior prediction

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Wildlife

Wildlife imagery and video data, enabling AI models used in conservation, research, and habitat monitoring

  • Animal detection and classification (species identification in various terrains)

  • Counting and tracking animals in drone or camera trap footage

  • Behavioral annotation (feeding, mating, migration patterns)

  • Habitat segmentation and environmental tagging

  • Poacher and intrusion detection for anti-poaching efforts

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Sports

We provide detailed video analysis of a game

  • Player Performance Analysis: Labeling player actions, movements, and statistics for performance evaluation.

  • Player Position and Movement Tracking: Labeling player positions in real-time for tactical and strategy analysis.

  • Labeling key events like goals, assists, fouls, and free kicks

  • Labeling key moments for automated highlight generation.

  • Labeling ad placements and sponsor mentions during broadcasts

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Agriculture

We provide detailed annotations for agricultural imagery (drone, satellite, or ground-level) to train AI models that support modern, data-driven farming

  • Crop classification and segmentation (field boundaries, crop types)

  • Weed and pest detection for early intervention

  • Plant health analysis through disease and stress labeling

  • Fruit counting and yield estimation

  • Soil, irrigation, and waterbody mapping

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Public safety

Annotations for visual  data used in public safety and surveillance systems

  • Pedestrian and vehicle detection in public spaces and traffic zones

  • Crowd analysis and density estimation for event management and emergency response

  • Suspicious behavior and anomaly detection in surveillance footage

  • Facial blurring or identification for privacy or forensic purposes

  • Gun, knife, and threat object detection in real-time video streams

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Logistics

Image and video annotation services to power AI systems in logistics, warehousing, and supply chain management

  • Object detection and tracking for packages, pallets, and forklifts

  • Barcode and label recognition from warehouse imagery

  • Occupancy detection for space optimization in storage facilities

  • Vehicle and container identification in loading/unloading zones

  • Route mapping and obstacle detection for autonomous delivery systems

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Medical

Medical annotation for images to support the development of AI models in diagnostics, treatment planning, and patient care

  • Image segmentation and labeling for modalities like X-ray, MRI, CT, and ultrasound (e.g., tumors, organs, fractures)

  • ECG, EEG, and biosignal labeling for anomaly detection

  • Multi-modal annotation for integrated AI applications

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