Anomalib: A Deep Learning Library for Anomaly Detection - #OpenCV Live Ep 112
Joining us again is a favorite guest of ours Paula Ramos (AI Evangelist, Intel) who brings co-worker Samet Akcay (Tech Lead, Intel) to show us Anomalib, the largest public collection of ready-to-use deep learning anomaly detection algorithms and benchmark datasets. We last saw Paula at CVPR 2023 in Vancouver, where a live demo of Anomalib was a big hit! Join for the presentation, and stay tuned for the special giveaway of a free OpenCV Course to one lucky trivia winner.

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Anomaly Detection: Algorithms, Explanations, Applications

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Visual Anomaly & Novelty Detection Workshop VAND 4.0

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Full Archon Guide - Build AI Coding Harnesses That Actually Ship (LIVE)

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Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

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aCCCess Webinar Series–Technology Offers #2| with NanoIC Pilot Line and FC3 Chips Competence Center

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OpenCV AI Competition 2023 - #OpenCV Live Ep 111

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Is AI Hiding Its Full Power? With Geoffrey Hinton

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iBattMan Training Webinar #1

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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Data Modeling for Power BI [Full Course] 📊

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Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

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Training Sand to Think: Artificial General Intelligence & Future of Physics

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Politics Chat, June 25, 2026

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Embedded Vision Summit 2026 Preview - CV & AI Hardware, Software, & Presentations

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NestJS Full Course for Beginners in 2026 | Build a Production-Ready API

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New Trends in Time Series Anomaly Detection

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How AI Cracked the Protein Folding Code and Won a Nobel Prize

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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

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180 - LSTM Autoencoder for anomaly detection

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