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Data Annotation Basics
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Video Annotation BASICS

4.6/5 (10 ratings) · 3+ certified

Learn the conventions of video annotation. Clip classification, object tracking across frames, and activity annotation for video AI.

Self-Paced
Always Open
Optional Certificate
Part of the Data Annotation Basics programme.

Self-Paced · Always Open

Free

Optional certificate: S$9

Learn at your own pace — no fixed schedule
Structured self-paced course modules
Theory lessons, examples, and knowledge checks
Optional paid certificate (after passing the assessment)

Overview

Start your Video Annotation journey.

Video labeling is image annotation with a twist: time. You’re not just answering “what’s in this frame?” — you’re tracking how things change across frames, when an event starts and ends, and which object in frame 30 is the same one from frame 10. The added dimension is what makes video work distinct, and it’s why autonomous driving, sports analytics, and video–language models all depend on this kind of data.

This Basics course covers the conventions: video classification, temporal segmentation, object tracking across frames, and activity annotation. Self-paced theory and knowledge checks; no fixed schedule.

Part of the Data Annotation Basics learning track. Optional verifiable certificate available for a small fee.

What You Get

What's included in your training

Structured Learning Modules

Learn at your own pace through structured modules on the DeeLab Academy learning platform.

Self-Paced Schedule

No fixed schedule. Start when you want, finish at your own pace.

Knowledge Checks

Worked examples and per-unit practice quizzes with instant feedback, plus a final knowledge assessment on the e-learning platform (80% to pass).

Optional Certificate

Optional verifiable certificate available for a small fee after you pass the final assessment.

Outline

What you'll learn

  1. Video Classification

    How video classification assigns category labels based on overall clip content.

  2. Temporal Segmentation

    What temporal segmentation marks: when events and actions start and end.

  3. Object Tracking Across Frames

    How object identity stays consistent as objects move through a video.

  4. Activity / Event Annotation

    What activity and event annotation describes about people and objects in motion.

  5. Spotting Correct vs Incorrect Video Annotations

    How to recognise the difference between a clean annotation and a sloppy one.

Part of the Data Annotation Basics programme.

Self-Paced Course

Free

Optional certificate: S$9

  • Full access to the learning environment
  • Complete at your own pace
  • Professional certification optional

How our free courses work

🌱 One free course at a time — finish this one before you start another.

✍️ When you complete it, a quick rating and honest review are required before your next free course unlocks — the only cost, and how we keep them free.

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Success Stories

What our trainees say

Unedited feedback from graduates who completed this course.

4.6/5 from 10 ratings

“Detailed Basics Course for beginners!”

Sri E.
Video Annotation Basics
Got Questions?

Frequently Asked Questions

Everything you need to know about this course.

It's designed for beginners. No prior AI knowledge or coding required. Video labeling assumes some intuition about image annotation, but you don't need to have completed Image Annotation Basics first; this course covers the foundations from scratch.

The added dimension is time. Instead of answering 'what's in this frame?', you're answering 'what's in this frame, and what happens across frames'. You track objects as they move, mark when events start and end, and keep identity consistent so the model knows object #3 in frame 30 is the same one from frame 10. That temporal consistency is the skill that separates video annotators from image ones.

Self-paced theory lessons and an online knowledge assessment on the e-learning platform. The Basics tier is focused on understanding the conventions of video annotation: classification, temporal segmentation, object tracking across frames, and activity annotation. There is no hands-on work with annotation tools in this course; that comes in the paid Video Labeling Essentials course.

The course is free, but the certificate is not — claiming it is optional and costs a small fee. It's verifiable proof that you've completed the self-paced course and passed the online knowledge assessment. Useful as foundation evidence on a CV or LinkedIn profile. It does not mean you've been trained to production standards; the paid Video Labeling Essentials course is the hands-on path toward that. Essentials-level courses make up the Certified Data Annotator (CDA) programme.

Two natural directions from here. To broaden your foundation, the Data Annotation Basics (DAB) programme has free courses on image, audio, text, segmentation, and 3D point cloud, all at the same level as this one. To go deeper into video annotation specifically, the paid Video Labeling Essentials course is the next level up: online sessions with an industry trainer, access to the labeling tools used in production, ongoing support, and a graded final assessment. The Essentials-level courses make up the Certified Data Annotator (CDA) programme.

You have three months to complete the course, counted from the end date of your first course run. The deadline is fixed 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 stays pinned to your first run's end date.

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