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AI Data Annotation & Labeling

Accurate Image Annotation for Smarter AI

We provide scalable image annotation and data labeling services designed to help AI teams build, train, and improve computer vision systems with high-quality human-labeled datasets.

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Human Annotated
Quality Checked
Scalable Workforce
Bulk Project Support
detection_model_v4.json
Urban traffic dataset
Vehicle 0.98
Objects 0.91
Vehicle 0.88
Traffic Sign 0.95
5–50+
Scalable Project Capacity
Human
Annotation & Review
QA
Quality-Controlled Workflow
Bulk
Dataset Processing

Image Annotation Services

Structured, accurate labeled data for computer vision and AI applications.

Bounding Box

Precise rectangular annotations for object detection and localization.

Cars • People • Products

Image Labeling

Accurate labeling of objects and visual content in images based on project-specific requirements.

Document Annotation

Accurate annotation and labeling of information within documents according to project requirements.

Text Annotation

Structured labeling of text and document content based on defined annotation guidelines.

Image Classification

Categorizing whole images according to client-defined classes and taxonomy guidelines.

Object Detection

Identifying and localizing multiple complex objects within busy environmental scenes.

Keypoint Annotation

Point-based annotation for human pose, facial landmarks, and structural objects.

Custom Workflows

Customized annotation processes designed around your specific data, rules, and formats.

See Our Annotation Workflow

Demonstration of high-quality object detection and labeling. Drag the slider to compare.

Sample / Demonstration Data
Original Unlabeled Image
Annotated Output
Vehicle 0.96
Person 0.99
Person 0.92
Vehicle 0.85
Annotated
Original
Request a Sample Annotation

Quality Built Into Every Dataset

Consistent annotation requires more than labeling. Our workflow includes structured guidelines and rigorous quality review before delivery.

01

Annotation Guidelines

We establish project-specific classes, labeling rules, visual examples, and handle edge cases systematically.

02

Human Annotation

Trained annotators process the dataset precisely according to the approved project guidelines and methodology.

03

Quality Review

Completed annotations are reviewed internally for missing labels, incorrect classifications, and boundary errors.

04

Final Validation

The approved dataset is compiled and formatted according to the required delivery schema (e.g., COCO, YOLO).

From Dataset to Delivery

1

Share Requirements

Send your dataset, annotation instructions, classes, expected volume, and output requirements.

2

Sample & Alignment

We annotate a small sample to confirm the labeling methodology and quality expectations before scaling.

3

Production Annotation

The scalable annotation workforce processes the approved dataset efficiently.

4

Quality Control

The completed work goes through a structured, multi-pass review process.

5

Final Delivery

The approved dataset is delivered securely in the agreed format.

Start a Pilot Project

Scale Your Annotation Workforce When You Need It

Start with a pilot and expand capacity as your dataset grows. Our flexible workforce model allows us to allocate additional annotators according to dataset size, project deadlines, and annotation complexity.

Stage 1: Pilot 1-5 Annotators

Small dataset • Sample validation • Workflow alignment

Stage 2: Production 5-20 Annotators

Dedicated annotation capacity • Regular QA • Scheduled delivery

Stage 3: Scale 20-50+ Annotators

Expanded workforce • Large dataset processing • Flexible capacity

Project Capacity: 5–50+ Annotators

Flexible Data Delivery Formats

YOLO COCO JSON CSV XML Custom Client Formats

Need a specific format? Tell us your requirements.

Data background

Built for AI & Computer Vision Applications

We support diverse annotation workflows across technical sectors.

Autonomous Mobility

Vehicles, pedestrians, road objects, and complex traffic scenes.

Retail & E-commerce

Products, retail shelves, packaging tracking, and inventory validation.

Agriculture

Crops, plant health mapping, fruits, and agricultural machinery.

Manufacturing

Equipment monitoring, component detection, and industrial defect spotting.

Robotics

Object detection, grasping point mapping, and environment understanding.

Smart Cities

Traffic density analysis, vehicle counting, pedestrians, and infrastructure.

Security & Monitoring

Object tracking and event-related visual datasets for monitoring systems.

Healthcare Imaging

Image labeling workflows subject to client requirements and privacy controls.

Your Data. Handled Responsibly.

We understand that training datasets can contain sensitive or proprietary information. Our operational framework prioritizes discretion and controlled access.

  • Controlled project access and restricted distribution
  • Limited team access based on project assignment
  • Confidential file handling and secure transfer methods
  • NDA availability where required prior to project start

A Flexible Partner for AI Data Operations

Scalable Workforce

Project capacity expands according to workload.

Human Annotation

Human-reviewed labeling based on instructions.

Quality Control

Dedicated review process before delivery.

Flexible Projects

Support for pilots as well as larger workflows.

Custom Guidelines

Workflows adapted to specific instructions.

Direct Communication

Clear communication throughout lifecycle.

Annotation Portfolio

Examples of our technical capability across various annotation types.

Traffic Demo
Car
Internal Demo
Bounding Box

Dense Traffic Object Detection

Retail Shelf
Internal Demo
Instance Detection

Retail Inventory Tracking

Pose Demo
Internal Demo
Keypoint Annotation

Skeletal & Pose Estimation

Abstract Tech

Not Sure If We're the Right Fit?

Send us a small sample dataset and let us demonstrate the annotation workflow, quality, and formatting before starting the full project.

Request a Sample

Share a small dataset, annotation requirements, and expected output format.

A Scalable Team Focused on AI Data

We provide human-powered image annotation and data labeling services for organizations developing AI and computer vision systems.

Our approach combines a dedicated core team, structured quality workflows, and scalable project capacity to support different dataset sizes and annotation requirements efficiently.

Project Capacity
5–50+
Scalable Workforce
Registration
MSME
UDYAM-WB-14-0202932
Professional Data Operations
Data Operations
Secure & Controlled Workflows

Frequently Asked Questions

We handle standard visible spectrum imagery, including photographs, frames from videos, satellite imagery, and specialized industrial or agricultural captures, provided they are in standard formats (JPG, PNG).
Yes. Our scalable workforce model allows us to scale project capacity (5-50+ annotators) to manage and process large-volume dataset requirements efficiently.
Absolutely. We encourage starting with a small pilot or sample batch to align on labeling methodology, instructions, and quality expectations before scaling to the full dataset.
Yes, all our workflows are adapted to client-specific instructions. We rely on your documentation to train the assigned annotators on edge cases and class definitions.
We commonly deliver in standard industry formats such as YOLO, COCO, JSON, XML, and CSV. If you have a proprietary internal format, let us know your requirements.
Yes, we understand the sensitive nature of pre-production AI training data. We are able to sign Non-Disclosure Agreements prior to receiving your dataset or guidelines.

Let's Discuss Your Dataset

Tell us what you need labeled, how much data you have, and your expected timeline.