Tag: annotation
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From Data to Decisions: The Strategic Role of Annotation in Building Trustworthy AI Systems
Quick Overview This blog explores the vital role of annotation in developing trustworthy AI systems, highlighting how high-quality data annotation forms the foundation for AI reliability, fairness, and performance, particularly in complex industries such as autonomous driving, healthcare, and smart city surveillance Key points include: Introduction: The future of AI will not be defined by…
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How Human-in-the-Loop Enhances Accuracy in Computer Vision Systems
In the race to build smarter AI, one truth remains: AI is only as good as the data that trains it. For computer vision (CV) systems, where perception fuels decision-making, data accuracy isn’t a bonus—it’s a baseline. And that’s where Human-in-the-Loop (HITL) becomes indispensable. While automation accelerates AI development, the strategic inclusion of human expertise…
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Big (data) labelling conundrum
Big (data) labelling conundrum #Hai-na-amazing?Every 18 – 24 months, the world is doubling the quantum of data available. In other words, we are generating as much data produced by all of human race, every 2 years. This is not because we have suddenly turned interesting and everyone is documenting their lives! Rather, a couple of other factors have…