Author: Suparno Roy
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Semantic Segmentation: The Cornerstone of Visual AI!!
In today’s AI-driven world, the ability to perceive and interpret complex visual scenes is no longer a futuristic ambition—it’s a foundational need. Whether it’s autonomous vehicles navigating chaotic city roads or medical systems pinpointing anomalies in scans, the demand for precise, contextual visual understanding is rapidly growing. At the heart of this capability lies a…
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Data Annotation and Labelling – How HITL Enhances Accuracy in AI Model Development
Artificial Intelligence (AI) is transforming industries at an unprecedented pace, but the accuracy of AI models heavily depends on the quality of data annotation and labelling. Poor data quality can severely compromise AI model performance, resulting in flawed predictions, biases, and operational failures. Recent Studies reveal that nearly 85% of AI projects fail due to…
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The Importance of Human-in-the-Loop (HITL) Annotation in AI Training
AI models are only as good as the data they learn from! constant—data quality matters. While automation is powerful, AI alone is not enough to ensure accurate and unbiased results. This is where Human-in-the-Loop (HITL) annotation comes in. By integrating human expertise with AI, HITL enhances accuracy, minimizes errors, ensuring ethical decision-making. Whether self-driving cars,…