What is data annotation in AI?

Data annotation is the process of labeling raw data — images, text, audio, video, or 3D point clouds — so that machine learning models can learn from it. Annotated datasets are the foundation of supervised AI training. Without high-quality annotated data, AI models cannot achieve reliable accuracy.

What types of data annotation services does Data Terminal offer?

Data Terminal offers image annotation (bounding boxes, semantic segmentation, polygon, keypoints), video annotation (object tracking, activity recognition), text annotation (NER, sentiment, intent classification), audio annotation (transcription, speaker diarization, emotion tagging), LiDAR/3D point cloud annotation, document annotation (OCR correction, invoice parsing, form extraction), and RLHF (reinforcement learning from human feedback) for large language models.

What is the difference between data labeling and data annotation?

Data labeling assigns a single tag or category to a data item (e.g., 'cat' or 'dog'). Data annotation is broader — it includes labeling but also adds contextual metadata such as bounding boxes, segmentation masks, timestamps, relationships, and attributes. All labeling is annotation, but not all annotation is mere labeling.

How do you ensure quality in data annotation?

Data Terminal uses a multi-pass quality assurance process: custom annotation guidelines per project, pilot batch review, inter-annotator agreement (IAA) scoring, two-tier human review, automated consistency checks, and client feedback loops. We maintain 99.5% accuracy across projects.

What annotation output formats do you support?

We support all major annotation formats including COCO JSON, Pascal VOC XML, YOLO TXT, CVAT XML, Labelbox JSON, custom JSON/JSONL, and CSV. We can also deliver in any client-specified format.

How long does a data annotation project take?

Standard projects are delivered within 48–72 hours for small batches (up to 5,000 items). Large-scale projects (100,000+ items) are scoped with a dedicated timeline. Rush delivery is available for urgent AI training requirements.

Can Data Terminal handle large-scale data annotation projects?

Yes. Data Terminal has handled projects exceeding 50 million annotations. We scale annotation teams on demand for high-volume requirements, with dedicated project managers and continuous quality monitoring.

Why choose India for data annotation services?

India offers a large pool of English-proficient, technically trained annotators at cost-effective rates — typically 60–70% lower than US or European providers — without compromising on accuracy. Indian annotation teams are experienced in medical, legal, automotive, and NLP domains.

What industries does Data Terminal serve with data annotation?

Data Terminal serves autonomous vehicles, healthcare AI (medical imaging), e-commerce, agriculture, robotics, content moderation, satellite/geospatial imaging, legal/finance NLP, retail, and conversational AI (chatbots, virtual assistants).

What annotation tools does Data Terminal use?

We work with CVAT, Labelbox, Scale AI-compatible pipelines, Roboflow, VGG Image Annotator (VIA), and custom in-house annotation tools. We can integrate with your existing annotation platform or provide a fully managed environment.

What is LiDAR annotation?

LiDAR annotation is the process of labeling 3D point cloud data captured by LiDAR sensors — assigning classes and drawing 3D bounding cuboids around objects like vehicles, pedestrians, cyclists, and road infrastructure. It is the primary annotation type for training autonomous vehicle perception systems. Data Terminal delivers AV-grade 3D annotation at 99.1% cuboid accuracy.

What is 3D point cloud annotation?

3D point cloud annotation labels the millions of laser-measured spatial coordinates (X, Y, Z) captured by LiDAR sensors. Annotators draw 3D bounding boxes, apply semantic class labels, and mark lane lines and drivable areas across dense point cloud frames. It is the most technically demanding annotation type in autonomous driving.

How is LiDAR annotation different from image annotation?

LiDAR annotation works with 3D spatial data (point clouds) rather than 2D pixels. Annotators must reason about depth, distance, and 3D orientation simultaneously. Objects that are occluded in camera view may be visible in LiDAR — and vice versa. Sensor fusion annotation combines both modalities.

What annotation types do you offer for LiDAR/point cloud data?

Data Terminal offers 3D bounding cuboids (with heading/orientation), 3D semantic segmentation, object classification, ground plane estimation, lane line and drivable area annotation, and multi-sensor fusion annotation combining LiDAR with camera or radar data.

What accuracy do you achieve on LiDAR annotation?

Data Terminal achieves 99.1% 3D IoU accuracy on bounding cuboids and >97% point-level accuracy on semantic segmentation. We follow AV-industry standards: minimum IoU 0.7 for vehicles, 0.5 for cyclists/pedestrians, per KITTI/nuScenes evaluation protocols.

What LiDAR data formats do you support?

We work with .pcd, .bin (KITTI raw binary), .las/.laz, .ply, .npy, nuScenes format, Waymo Open Dataset format, and Lyft L5 format. We deliver annotations in KITTI label format, nuScenes JSON, Waymo TFRecord, CVAT 3D XML, or any custom schema.

Do you do sensor fusion annotation (LiDAR + camera)?

Yes. Data Terminal performs synchronized LiDAR-camera fusion annotation — projecting LiDAR points onto camera frames to ensure 2D and 3D labels are consistent. This is critical for multi-modal perception models. We also handle LiDAR-radar fusion for adverse weather perception systems.

Which industries need LiDAR annotation services?

Autonomous vehicles (the primary use case), robotics (warehouse AMRs, surgical robots), construction and BIM, smart city infrastructure, mining, drone delivery, and industrial automation. Any system that uses LiDAR or depth sensors for 3D spatial understanding needs point cloud annotation.

What is LiDAR point cloud annotation?

LiDAR point cloud annotation is the process of labelling 3D scan data — collections of millions of XYZ coordinate points captured by laser sensors — to identify and classify objects in 3D space. Annotators draw 3D bounding boxes, segment points by class, and mark lane markings or drivable areas. The resulting labels train perception models for autonomous vehicles, robotics, and smart city systems.

How much does LiDAR annotation cost in India?

Data Terminal charges ₹15–₹50 per scene depending on object density and annotation type. Sparse highway scans start at ₹15/scene; dense urban scenes with 10+ objects cost ₹35–₹50/scene. Volume discounts of 10–30% apply for orders over 500 scenes. Call +91-9014387222 or email contact@dataterminal.co for a custom quote based on your point cloud files.

What accuracy can I expect for 3D bounding box annotation?

Data Terminal delivers 99.3% accuracy for 3D bounding boxes, measured by 3D IoU against gold standard scenes. Our QC pipeline flags any box with 3D IoU below 0.95 for re-annotation before delivery. We also report per-class precision so you can track quality at the category level.

What file formats do you accept and deliver?

We accept PCD, LAS/LAZ, BIN (KITTI binary), PLY, and E57 inputs. Deliveries are in KITTI label format, nuScenes JSON, Waymo TFRecord, or any custom schema. We handle coordinate frame transforms and sensor calibration data at no extra cost.

Can you annotate LiDAR and camera fusion data together?

Yes. Data Terminal handles sensor-fused datasets — LiDAR point clouds synced with RGB camera frames. Annotators work in 3D and 2D simultaneously, ensuring 3D box projections align correctly with 2D bounding boxes in the camera image plane. This is essential for multi-modal perception models.

How fast can you annotate LiDAR scenes?

Standard turnaround is 48 hours for up to 1,000 scenes. Rush 24-hour delivery is available. For large-volume projects we run parallel annotation teams — our capacity is 5,000+ scenes per day. Contact us to discuss scheduling for datasets over 10,000 scenes.

Do you offer a free sample for LiDAR annotation?

Yes. Send any 5 LiDAR scenes and we will annotate them free within 48 hours, including a 3D IoU accuracy report. No payment required. Email contact@dataterminal.co with your PCD or BIN files, or call +91-9014387222 to share via a secure link.

Which industries use LiDAR annotation services?

The primary users are autonomous vehicle companies (ADAS, self-driving), robotics (warehouse robots, industrial automation), smart city infrastructure (traffic monitoring), mining and construction (terrain mapping), agriculture (crop scanning drones), and surveying/mapping firms. Data Terminal has dedicated annotation teams for each vertical with domain-specific QC checklists.

LiDAR Annotation · India · 2026

LiDAR & 3D Point Cloud Annotation Services

99.3% Accuracy · ₹15–₹50 per scene · 48-hour turnaround · 5,000+ scenes/day

India's most accurate 3D point cloud annotation service. Expert-annotated 3D bounding boxes, point segmentation and lane markings for autonomous driving AI.

Get Free 5-Scene Sample Get a Quote

📞 +91-9014387222 · contact@dataterminal.co

3d-viewer · lidar.dataterminal.co

CAR 3D 0.97

PEDESTRIAN 0.94

TRUCK 3D 0.99

12,847 POINTS

99.3%Accuracy

48hTurnaround

₹15–₹50Per Scene

5K+Scenes Per Day

5+Years Experience

What We Annotate

Every 3D Annotation Type. One Team.

3D bounding boxes, point segmentation, lane markings — expert-annotated at 99.3% accuracy, delivered in your format.

3D Bounding Box

From ₹15/scene

Precise 7-DOF 3D boxes (x,y,z, l,w,h, yaw) around every object. KITTI, nuScenes, or Waymo format.

Autonomous Driving

Point Segmentation

From ₹30/scene

Every point labelled with a semantic class — car, pedestrian, road, vegetation. Per-point classification.

Semantic Segmentation

Lane / Road Marking

From ₹20/scene

3D polyline annotation of lane boundaries, road edges, stop lines, and crosswalks in point cloud space.

HD Mapping

Drivable Area

From ₹18/scene

Polygon or point-level labelling of the free drivable surface. Used for path planning and SLAM.

Path Planning

Object Tracking 3D

From ₹40/scene

Consistent object IDs across sequential frames. Track-level annotations for SORT, DeepSORT, and CenterPoint.

Temporal Models

Semantic Segmentation 3D

From ₹35/scene

Full panoptic labelling: thing classes (cars, people) and stuff classes (ground, sky, building) per point.

Panoptic 3D

Quality Methodology

How We Hit 99.3% Accuracy

99.3%

Average 3D Annotation Accuracy

Industry Average82%

Data Terminal99.3%

Step 01

Primary Annotation

Domain-expert annotators with AV or robotics background. Tool: CVAT 3D, Supervisely, or your platform. Each scene fully labelled before QC.

Step 02

Peer Review

Second annotator reviews every 3D box. Any 3D IoU below 0.95 is immediately flagged and re-annotated before the scene advances.

Step 03

Gold Standard Check

5% of scenes validated against pre-labelled gold standard frames. Batch is blocked if any box drifts beyond threshold.

Step 04

Automated Validation

Script computes 3D IoU and point coverage metrics on every completed batch. Nothing ships below the minimum accuracy floor.

<3cm

Average Position Error

99.1%

Inter-Annotator Agreement

Zero

Missed Objects Post-QC

Our Process

Upload to Delivery — 48 Hours

Upload

Share PCD, BIN, LAS, or PLY files via secure portal, Google Drive, S3, or FTP. We sign NDA on request and handle all coordinate frame metadata.

Annotate

Expert annotators label 3D boxes, segments, and lane polylines in CVAT 3D, Supervisely, or your tool. Domain specialists assigned per vertical.

QC Review

Every scene through 3-layer quality control. Any 3D IoU below 0.95 is re-annotated. Gold standard check on 5% random sample.

Deliver

Receive in KITTI label, nuScenes JSON, Waymo TFRecord, or custom format. 3D accuracy report and per-class precision metrics included.

Industries Served

Built for Every 3D Vertical

Dedicated annotation teams per industry — not generalists.

🚗

Autonomous Vehicles

3D box + tracking for cars, pedestrians, cyclists. KITTI/nuScenes output. 5K+ scenes/day capacity.

3D Bbox + Tracking

🤖

Robotics

Point segmentation for warehouse robots and industrial arms. Object detection in cluttered 3D scenes.

Point Segmentation

🏙️

Smart Cities

Traffic flow annotation, pedestrian density mapping, infrastructure monitoring from roadside LiDAR.

Lane + Drivable Area

🏗️

Mining & Construction

Terrain segmentation, equipment detection, excavation volume estimation from aerial/ground scans.

Semantic 3D

🌾

Agriculture

Crop row detection, plant height mapping, obstacle identification for autonomous farm machinery.

3D Segmentation

🗺️

Mapping & Survey

HD map creation, building extraction, road network annotation for GIS and digital twin platforms.

HD Mapping

Formats & Tools

Works With Your 3D Pipeline

Input / Output Formats

PCDLAS / LAZBIN (KITTI)PLYE57nuScenes JSONKITTI LabelWaymo TFRecordCustom

Annotation Tools

CVAT 3DSuperviselyLabelboxScale AI compatibleSegments.aiCustom API

If your pipeline uses a custom coordinate system, sensor rig, or proprietary format, we build the converter and validator at no extra cost.

Free Sample Offer

Try Before You Commit

Send us 5 LiDAR scenes. We'll annotate them free in 48 hours — your annotation type, your format, with a 3D accuracy report. No payment. No commitment.

5 scenes annotatedAny annotation typeYour output format3D accuracy report48h delivery

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FAQ

Frequently Asked Questions

Start Your Project

Let's Build Something Great.

Free sample on your first project. Response in under 2 hours. Transparent pricing with no hidden costs.

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Phone+91-9014387222

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Emailcontact@dataterminal.co

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LocationHITEC City, Hyderabad, India

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