“I really enjoyed DeeLab Academy, Please have other annotations classes in the future so I can keep up with the industry. Thanks!”
3D Point Cloud ESSENTIALS
Build hands-on skill in 3D cuboid placement and scene segmentation for autonomous vehicles and robotics.
Counts towards Certified Data Annotator certification: 6 courses required.
Course Fee
Overview
Become a certified 3D Point Cloud professional.
Self-driving cars and robots see the world as point clouds from lidar, and someone has to teach them what those points mean.
This cluster is a pedestrian, that one is a parked van, and the cuboid around each has to be right in three dimensions. 3D annotation is the scarcest skill in the catalogue, and the one where trained annotators are hardest to find.
This course is five days with a live trainer. Day one introduces 3D point cloud labelling; day two covers the tools with 3D cuboids on still images; day three is hands-on 3D object tracking with trainer support; day four is trainer-led scene segmentation. You work in the platforms real teams use, on real point cloud data, learning sensor fusion conventions and the cuboid discipline the work demands. Day five is a live assessment with your trainer, and passing it 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 3D point cloud labeling |
| Day 2 | Session 2 | Tool navigation with practice: 3D cuboids on still images |
| Day 3 | Session 3 | Hands-on labeling with trainer support: 3D object tracking |
| Day 4 | Session 4 | Trainer-led practice: scene segmentation |
| Day 5 | Assessment with Trainer | Live assessment — 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 |
| 29 Jun 2026 – 04 Jul 2026 | Completed |
| 18 May 2026 – 23 May 2026 | Completed |
What our trainees say
Unedited feedback from graduates who completed this course.
“Really happy for being part of the course!”
“I am happy with the teaching method and the way it is planned. Keep it up!”
Two ways in
This course, or the whole programme
Just this course
3D Point Cloud Essentials
One course, with its certificate when you pass.
at your own pace
Best value
The full Certified Data Annotator
All 6 courses, and the programme certificate at the end.
the courses one at a time
Frequently Asked Questions
Everything you need to know about this course.
The course is open to anyone — no prior AI knowledge or coding experience required. It works well for project managers and QA leads overseeing 3D annotation teams, contractors and freelancers who want to work on one of the highest-paid annotation modalities on the market, and developers or researchers building autonomous-vehicle, robotics, or photogrammetry products who want to understand what their 3D training data actually looks like. Understanding 3D annotation from the inside helps you plan better, communicate across teams, and produce higher-quality results faster.
All tools used in the course are free or very low cost — you can keep using them after the course ends. You will work with CVAT (Community Edition) for 3D cuboid placement and scene segmentation, and Google Drive for dataset organisation. A standard laptop with a modern browser is all you need — no LiDAR sensor or specialist 3D hardware required.
You will be able to produce 3D cuboid annotations and scene segmentation on raw point-cloud data captured by LiDAR, depth cameras, and photogrammetry rigs, follow a clear label taxonomy and edge-case guidelines so your output is usable downstream, and meet the precision and consistency expectations production teams set for 3D work. These are the day-one skills used inside autonomous-vehicle, robotics, and industrial-inspection pipelines — one of the most in-demand annotation modalities once you can do it well. Project scoping, QA leadership, and team-role rotation are reserved for the Advanced courses and bootcamps.
Yes — 3D Point Cloud 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 — a gap the AI ecosystem is still addressing. 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.
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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