A beginner-friendly introduction to LiDAR: what it is, how it works, its types, and application.

LiDAR (Light Detection and Ranging) is an advanced system mainly used for 3D modeling and topography. It works in the same way as Radar and Sonic: by shooting laser beams and receiving reflected light to calculate distance and estimate depth.

In this guide, we will cover:

• What is LiDAR?
• How it works?
• LiDAR Types
• LiDAR Applications

LiDAR is a special data widely used where 2D RGB images are not enough. Learn more.

A beginner-friendly guide to Intersection over Union (IoU) in 2026. Essentials, calculations, and extensions.

IoU is one of the most popular, consistent metrics for assessing the accuracy of computer vision models, especially object detectors. We wrote an introductory post about this statistical measure.

Today, we'll cover:

• Essentials and calculation of IoU
• Thresholds and extensions of IoU
• Mistakes and fixes for IoU

IoU is essentially a numerical measure of how well your model is predicting classes/marking bounding boxes. Learn more.

A comprehensive review of top 5 medical image labeling platforms of 2025.

There are many tools available that can be used to annotate medical images. They differ in their focus, features, and pricing. We have reviewed many tools and come up with this:

In today's post:

• Selection criteria for medical annotation tools
• 5 best platforms
• Choosing the right medical labeling platform

Medical annotation is hard. Your tool should facilitate labeling as much as possible, not hinder it.

Top 6 open-source audio labeling platforms of 2025 - A comprehensive review.

Open-source audio annotation tools are available for you to choose; but it is not easy to select one of them because each one is different and serves a different need. That's why we came up with this review.

In this review:

• Why choose and discard open-source
• 6 best open-source audio annotation platforms
• Proprietary vs. open-source

Open-source can work great in certain situations but fail in others. Learn more.

The guide to machine vision in robotics: overview, core concepts, development, real-world applications, challenges, and the future.

Robotics is a rapidly developing field. It encompasses mechanics, AI, computer vision, and ML. In this post, we will cover how computer vision is enabling robots to see and interpret the world like us humans.

Today, in our post:

• Modern robotics and the role of computer vision
• Core components and functionalities
• Real-world applications, challenges, and future

Robots equipped with machine vision are expected to develop even further as time goes on. Learn more.

Here's the summary of what we have been working on in October 2025. It's a lot.

To better inform our partners, clients, and the general audience, we started to write monthly product updates every month. This will be the the first of its kind.

Here's the summary of major features:

• A Better Overall Experience
• Medical Data Annotation: In Beta
• New: Dataset Release Feature
• Coming Soon: Data Augmentation

Stay tuned!

Learn the similarities and differences between instance and semantic segmentation with examples.

Image segmentation is the process of dividing the image into masks, or segments. Depending on the algorithm, there are two major annotation types: semantic and instance segmentation.

Today, we'll cover:

• Instance & semantic segmentation
• Their similarities and differences
• Popular computer vision models for these types

Both types are advanced annotation techniques that result in accurate masks at the cost of longer training, annotation, deployment.

Comprehensive introduction to medical image annotation in 2025. Learn how and why it is different and used.

You probably have heard of medical image annotation. It is a type of data labeling for healthcare. But what exactly is it and how is it different from image annotation for regular data?

Today we'll cover:

• Essentials of medical image annotation
• Difference between regular and medical image labeling
• Standards: DICOM & HIPAA
• Techniques and tools

Medical image labeling is a much different, expensive, and challenging type of data labeling. Learn more.

Learn latest best practices to detect and avoid bias in your computer vision development pipelines in 2025.

Bias is a systematic error that crops up during computer vision model development. It skews training and testing, leading to what is known as "AI hallucinations". How to detect and avoid bias? We answer that question today.

In our post:

• What is AI bias?
• 7 steps to mitigate bias

Bias negatively affects the bottom line of your model and business. Address bias during development, not after production.

A comprehensive review of top 7 paid audio annotation tools in 2025: features, pricing, and target audience.

Audio annotation powers Audio AI: voice assistants and robots. Audio annotation software helps annotate audio files faster and easier. But which software? We review the top ones.

In this post, we'll:

• Present review criteria for platforms

• Review of 7 proprietary platforms

• Explore results and recommendations

Choosing the best platform depends on your use case. However, with this guide, you can make an informed decision.