A deep dive into Optical Character Recognition (OCR): its essentials, workings, types, approaches, and challenges.

What is OCR? Optical Character Recognition is a computer vision task that is used to extract textual information from visual data, usually scanned documents, images, and PDFs. In this post, we will explore this technology:

In today's article:

• OCR Essentials and Workings
• OCR Approaches and Evaluation
• OCR Challenges

OCR is a central technology used alongside multimodal AI. It is often combined with NLP in pipelines. Learn More.

Top 10+ Real-World Applications of NER, NLP, and Multi-modal AI Across Industries. With Examples and Code Samples.

Where is NER used in the real use cases across industries? NER is not a standalone task; it is usually an entry point for other tasks (entity linking) in the NLP pipeline. We explore different applications in detail:

Here's a quick overview:

• NER patterns in production
• Role of data annotation in NER
• 11 NER Applications

NER is an essential task to carry out in NLP and Multimodal AI pipelines. Learn more.

What is Named Entity Recognition (NER)? How does it work? Different approaches, methods, evaluations, and challenges of NER.

Named Entity Recognition, sometimes called Text Entity Detection, finds and extracts entities in the corpus of text based on its domain (general vs. specific). But what exactly does NER do? How does it work?

In this post:

• What is NER?
• How does it work?
• Approaches to NER Models
• NER Evaluation and Challenges

NER is usually the early step in the NLP pipeline to extract value from textual data. Learn more.

A deep dive into setting up professional data annotation projects for companies and startups with Unitlab Annotate in 2026. Best practices, guidelines, and tips.

Let's start a professional project at Unitlab AI! But how? What are the considerations, trade-offs, and assumptions? We will discuss them today.

In today's post:

• Difference between hobby and professional data labeling projects
• 9 steps of creating a professional project

These 9 steps will carry you a long way towards creating a project that is organized, definite, and scalable. Learn more.

An in-depth look into LiDAR dataset formats and annotation types.

LiDAR (Light Detection and Ranging) is an advanced system mainly used for 3D modeling and topography. LiDAR raw data is not usable by itself; it undergoes processing and annotation to create LiDAR datasets, which are then used to train deep vision models.

In this guide, we will cover:

• LiDAR dataset formats

• LiDAR annotation types

• Choosing the right dataset format

• Common LiDAR dataset issues

LiDAR dataset format matters; it handles storage, transmit, and processing of LiDAR data. Learn More.

A comprehensive guide into LiDAR Annotation and Dataset: essentials, types, tools, and the future.

LiDAR (Light Detection and Ranging) is an advanced system mainly used for 3D modeling and topography. LiDAR raw data is not usable by itself; it undergoes processing and annotation to create LiDAR datasets, which are then used to train deep vision models.

In this guide, we will cover:

• LiDAR datasets and common dataset formats
• LiDAR annotation and its types
• LiDAR annotation workflow and tools
• LiDAR annotation challenges and best practices for LiDAR datasets
• The future of LiDAR annotation and dataset

LiDAR annotation and dataset are very useful and difficult tasks in computer vision. Learn more.

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.