Shaip Blog
Know the latest insights and solutions that drive Artificial Intelligence & Machine Learning Technologies.
Expert Data Annotation: When a Generic Crowd Stops Being Enough
Inter-annotator agreement is the number most teams check first, and it is the number most likely to mislead them. A 2026 survey of agreement metrics
New Text Datasets Are Now Live in Shaip’s Data Catalog
Most teams training or fine-tuning a language model hit the same wall at the same point. The open corpora are exhausted. The scraped material is
LLM Training Data: What Happens Between Off-the-Shelf and Production-Ready
Buying a dataset takes a purchase order. Making it trainable takes a pipeline. The gap between those two states is where most LLM programmes lose
What Is Longitudinal Patient Data? Datasets, Examples, and AI Applications
Longitudinal patient data is health information about the same patient collected repeatedly over time and across care settings — visits, diagnoses, lab results, medications, imaging,
Multimodal Annotation: Why Each Modality Demands a Different Strategy
Here is a finding that should change how you scope video projects. In a widely used multimodal video dataset, clips labelled as containing hateful content
Data Annotation Outsourcing in 2026: How to Measure Annotation Quality Before You Commit
Most teams don’t start looking into data annotation outsourcing because they want to. They start because an in-house pilot worked — forty thousand images, three
Best MTurk Alternative in 2026: Why AI Teams Choose Shaip
For 21 years, the default answer to “we need humans to label this” was a crowd marketplace. That default ended when Amazon Mechanical Turk closed
Shaip Expands Its Computer Vision Data Catalog with New Image and Video Datasets
Most computer vision projects don’t stall at the model. They stall at the data. Teams have the architecture, the compute and the engineers, and then
Hand-Pose Annotation for Dexterous Robot Manipulation
Hand pose annotation is the process of labeling how a hand and its fingers move across every frame of a video, so that robots can
Pose Estimation for Physical AI: How Keypoint & Motion Data Teaches Robots to Move
Pose estimation is the computer-vision task of locating body keypoints — joints and facial landmarks — and connecting them into a skeleton that describes how
What is Conversational AI? How It Works, and Why the Data Layer Decides Everything
Explore how Conversational AI is reshaping industries with personalized interactions. Check out our Infographic.
When Synthetic Data Makes Sense in Computer Vision (And When It Backfires)
Download Infographics Every computer vision team eventually hits the same wall: the data you need most is the data you can’t get. The near-miss at
Why Multilingual Speech Data Is Critical for Global AI
Download Infographics Your voice model works beautifully in the demo. Then it meets a real user — someone with a Scottish accent, ordering in Hinglish,
The Future of Data Annotation 2026 & Beyond
Automation won’t replace annotators. It will empower them. Data annotation is evolving from “labeling work” into AI data operations: higher judgment, stronger governance, tighter evaluation
OCR in 2026: How AI Turns Any Document into Data It Can Act On
OCR is a technology that allows machines to read printed text & images. It is often used in business applications, such as digitizing documents for storage or processing, & in consumer applications, such as scanning a receipt for expense reimbursement.
What is NLP? How it Works, Benefits, Challenges, Examples
Discover our NLP infographic: Learn how it works, explore benefits, challenges, market growth, use cases, and future trends in Natural Language Processing.
Synthetic vs Real-World Data for Robotics: Which to Buy for Your Physical AI Project
In physical AI, the model is rarely the bottleneck — the data is. A robot policy that runs flawlessly in a demo and then stalls
22 Free Image Datasets for Computer Vision to Boost Your Project [2026 Updated]
A computer vision model is only as sharp as the images you train it on. Feed it a clean, well-labeled set and it learns to
Multimodal Data for Humanoid Robots: Vision, Language, Action, Telemetry, and Context
Ask a humanoid robot to “pick up the red mug on the left and place it in the sink,” and a remarkable amount has to
What is Voice Recognition: Why You Need it, Use Cases, Examples & Advantages
Voice recognition is a technology that identifies and authenticates a person based on the unique characteristics of their voice, while its close sibling, speech recognition,
Getting Your AI Data Ready for the EU AI Act: A Plain-English Checklist
When companies stumble on the EU AI Act, it’s usually not the clever AI model that trips them up — it’s the paperwork behind the
LLM Evaluation with Domain Experts: The Complete Guide for Enterprise Teams
If your company has started using AI tools that generate text — chatbots, document summarizers, policy assistants, or customer service bots — you have probably
EU vs UK AI Rules: A Plain-English Comparison
Two of the world’s biggest markets sit a short flight apart and have taken almost opposite paths on AI. The European Union wrote one big
EU AI Act 2026 Deadlines: A Plain-English Guide to What Just Changed
The EU AI Act is Europe’s big rulebook for artificial intelligence. Like most big rulebooks, it doesn’t switch on all at once — different rules
