#annotation | Humans in the Loop

Computer vision

Ethical Data Annotation: Why the Most Important AI Decisions Happen Before Your Model Is Built

by Humans in the Loop March 9, 2026March 10, 2026

Our new article breaks down the 3 most common ways synthetic data breaks AI models, from amplifying hidden biases to triggering severe model drift and details the actionable HITL workflows your team needs to prevent these critical and costly synthetic data pitfalls.

Computer vision

3 Ways Synthetic Data Breaks Models and How Human Validators Fix Them

by Yuliia Tatarets November 18, 2025March 10, 2026

Illustrated flowchart of human-in-the-loop video annotation process

Computer vision

How HITL Video Annotation Reduces AI Bias in Models (2025)

by Elene Peradze May 21, 2025May 22, 2025

The cost of bad data why accurate data labeling is critical for AI success

Webinar

Episode 8 – The cost of bad data

by Yuliia Tatarets March 25, 2025March 26, 2025

Best AI training datasets for machine learning in 2025 - free and paid datasets

Computer vision

Best AI Training Datasets for Machine Learning & Deep Learning (2026 Guide)

by Elene Peradze March 17, 2025March 16, 2026