Tag: automated annotation
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Common Pitfalls of Applying AI in Real-Life Use Cases: Addressing Challenges with Human-in-the-Loop Solutions
Quick Overview This blog explores the critical challenges organizations face when implementing AI in real life and how Human-in-the-Loop AI solutions can effectively address these issues. It emphasizes the importance of combining human expertise with AI systems to overcome common AI implementation pitfalls and create more reliable, transparent, and ethical AI applications. Key points include:…
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Automated annotation for Speed, Accuracy, and Cost Effectiveness
AI-based solutions are the way forward for every industry, and AI solutions across industry segments require large volumes of data labelling. “Supervised Learning” models are trained with accurately labelled large datasets. Semantic segmentation is one of the main challenges in computer vision as it takes quite long to accurately segment an image. Scaling the dataset…