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200K+
Point Clouds Annotated
95%+
Spatial Accuracy
30+
Live Clients
50%
Faster Turnaround
100%
Secure Workflows
Achievments
To train these systems, models need high-resolution, accurately segmented 3D datasets.
At Anotag, our 3D specialists annotate millions of points with precision: objects, lanes, curbs, pedestrians, vehicles, structures, terrain, and more. We support autonomous vehicles, robotics, mapping, industrial automation, and smart-city applications with expertly structured 3D datasets.
Our workflows combine human expertise and automated tools to deliver consistent, scalable, and highly accurate 3D annotations across LiDAR, RADAR, depth maps, stereo, and multi-sensor fusion data.
ABOUT
3D point cloud and LiDAR data form the foundation of modern autonomy — enabling machines to understand depth, distance, structure, and spatial geometry.
Things We Do
We provide end-to-end 3D annotation services tailored to your sensor type, project scale, and model requirements
01
3D Bounding Boxes & Cuboids
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Precisely enclose vehicles, pedestrians, and obstacles in 3D space for accurate detection and localization.
02
Point Cloud Segmentation
Segment surfaces and regions (ground, vegetation, structures) to support segmentation and scene understanding.
03
Semantic & Instance Labeling
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Classify points by object class and
instance to train downstream perception systems.
04
Sensor Fusion Annotation
We align multi-sensor inputs to provide unified annotations that support advanced perception and multi-modal AI systems.
05
Lane, Drivable Area & Terrain Mapping
We label elevation, surface types, drivable zones, curbs, slopes, and road geometry essential for navigation and autonomy.
06
3D Tracking & Motion Annotation
We track objects across sequential frames, capturing movement, speed, direction, and trajectory patterns for prediction models.
07
HD Map Feature Labeling
We annotate traffic signs, poles, lane boundaries, road edges, and structural elements used in map generation and validation.
07
Custom 3D Annotation Pipelines
Workflows designed for automotive, robotics, mapping, construction, agriculture, and industrial 3D data requirements.
Industries We Serve
Our 3D annotation expertise powers spatial AI across diverse industries and
real-world applications
01
Technology & AI Startups
Prototype and production datasets for robotics, perception models, and multimodal research in spatial AI.
02
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Healthcare & Life Sciences
3D imaging and surgical navigation datasets for medical robotics, planning, and diagnostic modeling workflows.
03
Manufacturing & Robotics
Point cloud labeling for factory mapping, robot navigation, quality inspection, and automated material handling.
04
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Transportation & Logistics
Fleet mapping, yard management, and route optimization using LiDAR-based spatial datasets for tracking.
05
Media & Entertainment
3D scene reconstruction, AR/VR environment capture, and virtual production mapping from point-cloud data assets.
06
Retail & E-Commerce
Warehouse mapping, inventory robotics, and in-store navigation datasets powered by LiDAR and depth sensing.
07
Agriculture & AgriTech
Terrain modeling, crop-structure mapping, and autonomous equipment guidance using aerial LiDAR and point clouds.
08
Automotive
High-precision 3D annotations for ADAS, obstacle detection, sensor fusion, and autonomous vehicle perception systems.
09
Education
Research-grade 3D datasets for robotics labs, academic mapping projects, and spatial AI coursework development.
10
Fintech
Risk modeling for asset inspections, facility valuations, and geospatial underwriting using 3D datasets analysis.
11
Security & Surveillance
Perimeter mapping, crowd analytics, and drone-based surveillance workflows powered by 3D spatial annotations systems.
12
Sports & Games
Stadium modeling, player tracking, and immersive game environments built from LiDAR and depth captures.
13
Legal
Forensic scene reconstruction, evidence mapping, and accident analysis using precise 3D point-cloud annotations datasets.
OUR PROCESS
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01
Data Assessment & Schema Planning
We review your LiDAR/radar data, environment type, and perception goals to define a precise 3D labeling schema.
02
Tooling & Workflow Setup
We configure 3D platforms, calibration files, class rules, and QA structures matching your model architecture.
03
Expert 3D Annotation Execution
Specialists annotate objects, terrain, and structures at point-level detail using advanced LiDAR and sensor-fusion tools.
04
Multi-Layer QA Validation
Spatial alignment checks, point-wise audits, consistency reviews, and class-level verification ensure >98% accuracy.
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05
Iteration & Refinement
We collaborate with your engineering team to refine class definitions, edge cases, and spatial rules as models improve.
06
Secure Delivery & Integration
Delivered in KITTI, NuScenes, Waymo formats, PLY, LAS, BIN, JSON, or custom schemas —ready for training
pipelines.
Why Choose Anotag for 3D Annotation
Depth, Detail, and Accuracy — Powering the Next Generation of Spatial AI.
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3D Domain Specialists
Teams trained specifically in LiDAR, point cloud tools, and sensor fusion.
Flexible Format Support
KITTI, NuScenes, Waymo, PLY, LAS, ROS bags, and custom schemas.
Scalable Enterprise Workflows
From small pilots to large-scale mapping and fleet projects.
High Spatial Accuracy
Industry-grade QA for reliable object localization and tracking.
Secure & Compliant
ISO-aligned environments, encrypted transfers, and strict access control.
Seamless MLOps Integration
Deliverables designed to plug straight into your training and simulation pipelines.
How We Ensure Quality
Spatial Consistency Validation
Ensures object boundaries, depth values, and cuboid rotations remain accurate across sequential frames.
Point-Level Accuracy Audits
Randomized checks confirm class precision on dense point clusters and sparse regions.
Cross-Frame Tracking Validation
Verifies smooth object trajectories and eliminates drift across motion sequences.
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Multi-Sensor Alignment Checks
Ensures LiDAR-camera-radar calibration holds across scenes and time steps.
Edge-Case Escalation Workflow
Special handling for occlusions, low-light scans, reflections, overlaps, and dense traffic scenes.
Security, Integration & Delivery
We protect your 3D data and make integration simple
ISO 27001 Aligned
Global-standard security controls protect all 3D data and sensor streams.
NDA + Restricted Access
Only authorized teams handle your vehicle, mapping, or robotics sensor datasets.
AES-256 Encryption
Secure movement of LiDAR, point clouds, and fused sensor files across the workflow.
Isolated 3D Workspaces
Dedicated environments protect high-value spatial data and proprietary sensor configurations.
Ready to Give Your Models Depth and Context?
Get perfectly annotated LiDAR and 3D point cloud datasets that accelerate autonomous driving, robotics, and mapping AI.
Book a demo to see how Anotag’s 3D annotation pipelines deliver accurate, production-ready point-cloud datasets — faster, safer, and deployment-ready.