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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

Convolutional Neural Networks (CNNs) are essential for computer vision tasks, including image classification, detection, and segmentation. Traditionally, CNNs depend on supervised learning with large labeled datasets, and they face limitations.…
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Posted by Asad iqbal January 27, 2025Tags: CNNs, computer vision, deep learning, machine learning

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