Top 10+ Real-World Applications of Named Entity Recognition
Top 10+ Real-World Applications of NER, NLP, and Multi-modal AI Across Industries. With Examples and Code Samples.
Named Entity Recognition: Essentials, Workings, Approaches, Challenges
What is Named Entity Recognition (NER)? How does it work? Different approaches, methods, evaluations, and challenges of NER.
Complete Guide to SAM Models: Architecture, Performance Comparison & Use Cases
Discover how Segment Anything Models (SAM) are reshaping pixel-level segmentation while enabling faster and
Top 7 Video Annotation Tools & Platforms for 2026
Video annotation is the process of adding labels and metadata to video frames (or time segments) so ML models can learn to detect, track, and understand objects, actions, and events over time.
Professional Data Annotation Project Setup
A deep dive into setting up professional data annotation projects for companies and startups with Unitlab AI in 2026. Best practices, guidelines, and tips.
Top 15+ Multimodal Datasets
Multimodal data is data from multiple modalities, such as text, images, audio, video, and sensors, combined so AI can understand the same event or object with richer context than any single source alone.
LiDAR Dataset and Annotation Formats
An in-depth look into LiDAR dataset formats and annotation types.
Comprehensive Analysis of YOLO Models: The Evolution of the YOLO Series Toward 2026
An in-depth, comprehensive analysis of computer vision YOLO models. The evolution from the beginning to the latest versions in 2026.
Top 30+ Real-World Multimodal Applications Across Industries
Multimodal applications use multimodal AI systems to combine multiple data types within a single model. By integrating diverse data modalities through data fusion, multimodal AI provide understanding of complex, real-world scenarios than unimodal AI.