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Synthetic Data in AI
Posted inMachine learning

Generative AI in Creating Synthetic Data

Today, 90% of AI projects fail due to insufficient or biased training data. Yet, acquiring real-world datasets is fraught with challenges like GDPR restricting access to niche applications lacking representative…
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Posted by Asad iqbal February 26, 2025Tags: computer vision, deep learning, Gen AI, machine learning
Agentic Object Detection
Posted inMachine learning

Agentic Object Detection: The Future of Image Recognition

Imagine pointing your camera at a cluttered desk and asking an AI to find "a red notebook with a spiral binding" or "a Logitech MX Master mouse". Or think about…
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Posted by Asad iqbal February 7, 2025Tags: computer vision, deep learning, machine learning
Posted inMachine learning

Vector Quantization in the Age of Generative AI

In today's data-rich environment, managing massive, high-dimensional datasets presents significant challenges, especially with vector embeddings in AI. According to a 2023 report by IDC, the global datasphere is expected to…
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Posted by Asad iqbal February 3, 2025Tags: computer vision, deep learning, machine learning
Zero shot learning (ZSL)
Posted inMachine learning

Zero-Shot Learning: How AI Learns Without Examples

TL;DR Q 1. What is zero-shot learning?Zero-shot learning (ZSL) is a machine learning technique where a model can recognize or classify new “unseen” classes that it never encountered in training.…
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Posted by Asad iqbal February 1, 2025Tags: deep learning, machine learning
Self-Supervised Learning
Posted inMachine learning

CNNs with Self-Supervised Learning: A New Paradigm for Computer Vision

Explore the integration of CNNs with self-supervised learning for image classification. Learn about the benefits, challenges, and implementation details of self-supervised learning approach. Convolutional Neural Networks (CNNs) are essential for…
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Posted by Asad iqbal January 27, 2025Tags: CNNs, computer vision, deep learning, machine learning

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