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Data Annotation Master Class 2026

Master Data Annotation from Scratch with Hands On Projects – Image, Video & LiDAR Annotation

  1. Topics
  2. IT & Software
  3. Dataset Annotation

Data Annotation Master Class 2026

InstructorMohammad Rahish
Duration3h 27m
Students110
Rating4.3 (14)
Sponsored
Price
$14.99
Coupon
None
No active coupon currently available
Access
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Open on UdemyCurrent Udemy price

Coupon history

Comidoc has tracked 2 coupons for this course since 2026, last checked 1 month, 29 days ago.

Coupon codeDiscountAddedStatusLifetime
EXCLUSIVE33% offAug 1, 202603:46 PM UTCExpired4d 22h
EARLYBIRD100% offJun 17, 202606:22 PM UTCExpired~30 daysRan full term
Comidoc Analysis

Multimodal Data Annotation Training

Strengths

Multimodal Technical Coverage

The structure spans several critical domains including Image, Video, Semantic Segmentation, and LiDAR annotation.

Professional Workflow Simulation

Instruction includes role-play and communication exercises to simulate reviewing client briefs and professional correspondence.

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Clear Instructional Delivery

Learner signals suggest the lessons are easy to follow, precise, and well-explained for those starting from scratch.

Limitations

Potential Resource Mismatch

One signal from before the displayed update indicates that resources provided during the video annotation section may be incorrect; however, the update label does not prove this has been corrected.

Best suited to

  • Beginners seeking entry into AI support roles
  • Freelancers interested in client interaction simulations
  • Learners wanting exposure to LiDAR and segmentation

Less suited to

  • Those requiring guaranteed resource accuracy in video modules

Comidoc Score

6.1/10

Worth considering
Beginner-friendly

Comidoc verdict

Technical training progresses from fundamental image labeling into more complex areas like semantic segmentation and LiDAR. This progression is supported by embedded quizzes designed to reinforce specific technical sections.

The curriculum combines technical tasks with freelance workflow simulations, including role-play exercises. However, a single signal regarding incorrect resources in the video module suggests a need for caution when navigating that specific section.

This training is best suited for beginners or students looking to build a foundational skill set across multiple data modalities for AI-related roles.

Score breakdown

Curriculum depth
5.8

The curriculum covers a wide range of topics including segmentation and LiDAR, though depth per topic is not explicitly demonstrated beyond the section count.

Applied learning
7.3

The course includes specific hands-on segments for segmentation and LiDAR, alongside embedded assessment quizzes.

Clarity & experience
5.8

Learner signals point toward clear and precise instruction that is beginner-friendly.

Currency & reliability
5.0

One signal from before the update suggests a potential mismatch in video annotation resources, which introduces uncertainty regarding the current state of that module.

Audience fit
6.5

The curriculum aligns with the target of beginners through its inclusion of fundamental image and video tasks.

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