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Certified Data Annotator
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Image Labeling ESSENTIALS

5/5 (26 ratings) · 33+ certified

Master core image labeling for computer vision: bounding boxes, polygons and keypoints, at the pace real projects demand.

5 Days Intensive
DeeLab Academy certificate

Counts towards Certified Data Annotator certification: 6 courses required.

Complete any 6 courses from this programme to earn the CDA certificate. Requirements may be updated as the programme develops.

Course Fee

 
Access to your course in the DeeLab Learning Portal
Live sessions with industry trainers
DeeLab Academy certificate included

Overview

Become a certified Image Labeling professional.

Two adult elephants and a calf on a jungle path, each marked with a labelled bounding box, showing image labeling in action

Every object detector learns where things are from boxes, polygons and keypoints somebody drew, and drew to a standard.

Image labelling is the highest-volume work in computer vision, and the difference between a labeller who gets steady work and one who does not is precision under a specification: tight boxes, clean polygon edges, keypoints on the joint rather than near it.

This course is five days with a live trainer. Day one covers the theory that makes the practical work make sense; day two puts you in the tools with bounding box technique; day three is hands-on polygon annotation with trainer support; day four is trainer-led keypoint labelling on real-world exercises. You work in Label Studio or CVAT, the platforms real annotation teams use, on real datasets rather than toy examples. Day five is a live assessment with your trainer, and passing it is what earns the certificate.

One of the six courses of the Certified Data Annotator programme: each one you pass counts toward the credential, and completing all six earns it. Available on its own or as part of the programme, with the certificate included on passing the assessment.

What You Get

What's included in your training

Trainee Portal & Labeling Tools

This course in the DeeLab Academy portal with its materials, scripts and datasets, plus hands-on work on real annotation platforms (Label Studio, CVAT) running on our servers.

Live Sessions & Trainer Support

Daily live workshops on Google Meet with Q&A, plus trainer support between sessions via chat on the Trainee Platform. Session times are set around each cohort.

Session Recordings

Recordings of every session, for anyone who can't attend live.

DeeLab Academy certificate

Certificate issued within one week after you pass the assessment and confirm the publicity details for your certificate.

Outline

What you'll learn

Day Session Topics
Day 1 Kick-off & Session 1 Theory introduction to image labeling: foundational concepts before practical application
Day 2 Session 2 Trainer-led tool navigation: bounding box techniques with hands-on practice
Day 3 Session 3 Hands-on labeling with trainer support: polygon annotation methods
Day 4 Session 4 Trainer-led practice: keypoint labeling techniques and real-world exercises
Day 5 Assessment with Trainer Live assessment and review (attendance required for certification)

Counts toward the Certified Data Annotator (CDA) certification programme.

Track Record

Previous Runs

Dates Status
14 Sep 2026 – 19 Sep 2026 Completed
24 Aug 2026 – 28 Aug 2026 Completed
06 Jul 2026 – 11 Jul 2026 Completed
25 May 2026 – 30 May 2026 Completed
13 Apr 2026 – 18 Apr 2026 Completed
30 Mar 2026 – 04 Apr 2026 Completed

Upcoming Runs

Course currently between intakes

Contact us to be notified when the next run opens.

Hannah Ndulu
Head of Training
Hannah Ndulu
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Meet your trainer

Hannah is Head of Training at DeeLab Academy. Based in Kenya, she oversees daily operations, leads our core annotation team, and ensures projects are delivered with consistency and care.

With a background in bookkeeping and solid expertise in data annotation and web research, she brings a meticulous, detail-driven approach to every task.

She designs and runs our training and certification programme, equipping annotators with practical skills to work on real client projects and uphold high quality standards.

“I’m passionate about bringing precision and quality to every project we undertake. I’m dedicated to ensuring that our services fuel innovation, drive insights, and deliver value to our clients.”

42+ course runs led 5.0/5 course rating Based in Kenya · trains globally

How it works

From enrolling to certified

1

Train with your cohort

5 live sessions with your trainer, plus hands-on annotation work on real datasets using the tools the job actually uses.

2

Pass the assessment

The final day is a live assessment with your trainer. The certificate is earned on that result, never awarded for attendance.

3

Receive your certificate

Issued within one week of passing, with a public verification page anyone can check.

Specimen Image Labeling Essentials certificate, showing a mock name and sample ID

What you earn

Anyone can verify it in seconds

  • Earned by passing a live assessment, never awarded for attendance.
  • A unique ID with a public verification page, so you can share the link with any employer.
  • Signed by your trainer and DeeLab's founder.
  • Issued within one week of passing, and counts toward the Certified Data Annotator.
Certificate verified
Jordan Sample
IMAGE LABELING ESSENTIALS · ILE-SAMPLE
deelabacademy.com/ILE-SAMPLE

Specimen shown for illustration, with a mock name and certificate ID.

Success Stories

What our trainees say

Unedited feedback from graduates who completed this course.

5/5 from 26 ratings

“Everything is satisfactory!”

Elizabeth T.
Image Labeling Essentials course graduate

“DeeLab instructors Hannah and Ben did an excellent job in helping me understand the intricacies of the image labelling techniques for data annotation. They were super patient with questions and explained their answers well and also inquired if the answer was understood; the last practice should be required of all instructors. They were very polite and upbeat. I really enjoyed the course. Brava to Hannah and bravo to Ben. Thanks.”

P C
Image Labeling Essentials course graduate

“What truly sets Deelab’s Image annotation course apart is the combination of their instructors' expertise, the course's hands-on approach and their affordable pricing. I was able to acquire annotation skills in short time and I hope for an immediate, real-world applicability of their training. Highly recommended!”

Elena Bajo
Image Labeling Essentials course graduate

“If you truly want to learn image annotation with a really patient and knowledgeable team of professionals then look no further than DeeLab.”

c steward
Certified Data Annotator programme graduate

“I had a helpful experience with this organization. The training programs are top-notch.”

Joseph Okulu
Image Labeling Essentials course graduate

“Great course! Highly recommend it!”

Michelle M Almeida
Image Labeling Essentials course graduate

Two ways in

This course, or the whole programme

Just this course

Image Labeling Essentials

One course, with its certificate when you pass.


 
Start any time,
at your own pace
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Best value

The full Certified Data Annotator

All 6 courses, and the programme certificate at the end.


 
19% cheaper than buying
the courses one at a time
See the programme
Got Questions?

Frequently Asked Questions

Everything you need to know about this course.

The course is open to anyone. No prior AI knowledge or coding experience is needed. It works well for project managers and QA leads setting standards for their labelling teams, contractors and freelancers paid to annotate professionally, and developers or researchers who want to understand what their training data actually looks like. Understanding image labelling from the inside helps you plan better, communicate across teams, and produce higher-quality results faster.

All the tools in the course are free or low cost, and you can keep using them after the course ends. You will work with Label Studio (Community Edition) or CVAT (Community Edition) for annotation, and Google Drive for dataset organisation. A standard laptop with a modern browser is all you need. No GPU, paid licence or specialist hardware is required.

You will be able to produce bounding box, polygon, and keypoint annotations to production standards on real image datasets, follow a clear label taxonomy so your output is usable downstream, and meet the speed and consistency expectations production teams set. These are the day-one annotation skills used inside autonomous driving, medical imaging, retail vision, and content moderation pipelines. Project scoping, QA leadership and team-role rotation are covered in the Advanced courses and bootcamps. Essentials is built around the core annotation craft.

Yes. Image Labeling Essentials is fully online, and you can join from anywhere in the world. We are also open to designing on-site workshops for organisations with sufficient demand; reach out through our contact page if you would like an in-person format for your team.

There is currently no formal industry-wide certification body for data annotation training. The AI industry has not yet filled that gap. DeeLab Academy follows the best current industry practices and methodologies, our curriculum is designed and delivered by a five-member team of multi-year industry experts, and we collect structured feedback from every cohort to keep improving the content. We are fully open to being audited by any recognised consultancy that wishes to validate our processes.

No. This course teaches skills and gives you a certificate when you pass. It does not place you in work or guarantee income.

You have three months to complete the course, counted from the day you sign up. That applies whether the course is self-paced or runs to a schedule. The deadline is fixed from your sign-up date and doesn't reset if you move to a later run.

Yes, you're automatically enrolled in the run you choose, and you can move to another scheduled run of the same course up to twice from your dashboard. Your payment carries over, and your completion deadline does not change because it runs from the day you signed up.

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