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        <title><![CDATA[Image Classification Tutorials - Medium]]></title>
        <description><![CDATA[Hands-on image classification tutorials with Python and deep learning. Clear code, real-world datasets, and step-by-step guides to help you build, train, and deploy powerful vision models — from beginner basics to advanced projects. - Medium]]></description>
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            <title>Image Classification Tutorials - Medium</title>
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        <item>
            <title><![CDATA[Accelerating Pokemon TCG Automation: Building a Multi-Modal AI Card Recognition API]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/accelerating-pokemon-tcg-automation-building-a-multi-modal-ai-card-recognition-api-6cb0c462c150?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/2600/1*w-c2yzXznblmP315p0ALEQ.png" width="2752"></a></p><p class="medium-feed-snippet">The collectibles and Trading Card Game (TCG) markets have transformed from casual hobbies into a highly active alternative asset class.</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/accelerating-pokemon-tcg-automation-building-a-multi-modal-ai-card-recognition-api-6cb0c462c150?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/accelerating-pokemon-tcg-automation-building-a-multi-modal-ai-card-recognition-api-6cb0c462c150?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[pokemon-cards]]></category>
            <category><![CDATA[pokemon]]></category>
            <category><![CDATA[pokémon-go]]></category>
            <category><![CDATA[image-classification]]></category>
            <category><![CDATA[python]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Sun, 24 May 2026 19:46:40 GMT</pubDate>
            <atom:updated>2026-05-24T19:46:42.120Z</atom:updated>
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        <item>
            <title><![CDATA[Stop Scrapping and Start Synthesizing: My Python Pipeline for Custom AI Training]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/stop-scrapping-and-start-synthesizing-my-python-pipeline-for-custom-ai-training-aff82c8b4a1d?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/2600/1*1ZNxnxvXmZZHs1uMTu_M8A.png" width="2752"></a></p><p class="medium-feed-snippet">The most soul-crushing part of Computer Vision isn&#x2019;t the math &#x2014; it&#x2019;s the labeling. We&#x2019;ve all been there: sitting for hours, clicking boxes&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/stop-scrapping-and-start-synthesizing-my-python-pipeline-for-custom-ai-training-aff82c8b4a1d?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/stop-scrapping-and-start-synthesizing-my-python-pipeline-for-custom-ai-training-aff82c8b4a1d?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[image-generation]]></category>
            <category><![CDATA[stable-diffusion]]></category>
            <category><![CDATA[ai-image-generator]]></category>
            <category><![CDATA[synthetic-data]]></category>
            <category><![CDATA[autodistill]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Thu, 05 Mar 2026 14:54:40 GMT</pubDate>
            <atom:updated>2026-03-05T14:54:41.952Z</atom:updated>
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        <item>
            <title><![CDATA[AI-Powered Neurology: Building an Alzheimer’s Classifier with Python and Xception]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/ai-powered-neurology-building-an-alzheimers-classifier-with-python-and-xception-d74b89e3053a?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/2600/1*GyronB95LFBl3IDeXF8ydw.png" width="2752"></a></p><p class="medium-feed-snippet">Leveraging the Xception Architecture for Early Dementia Detection</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/ai-powered-neurology-building-an-alzheimers-classifier-with-python-and-xception-d74b89e3053a?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/ai-powered-neurology-building-an-alzheimers-classifier-with-python-and-xception-d74b89e3053a?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[python]]></category>
            <category><![CDATA[convolutional-network]]></category>
            <category><![CDATA[xception]]></category>
            <category><![CDATA[image-classification]]></category>
            <category><![CDATA[alzheimers]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Sun, 01 Mar 2026 10:04:20 GMT</pubDate>
            <atom:updated>2026-03-01T10:04:22.002Z</atom:updated>
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        <item>
            <title><![CDATA[How I Built a Butterfly Species Classifier Using TensorFlow and Python]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/how-i-built-a-butterfly-species-classifier-using-tensorflow-and-python-79a67d2fe324?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/2600/1*W2Bb6Xh2ilFvOJDs2fkzag.png" width="2752"></a></p><p class="medium-feed-snippet">A deep dive into fine-grained image recognition and the architecture of a professional CNN.</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/how-i-built-a-butterfly-species-classifier-using-tensorflow-and-python-79a67d2fe324?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/how-i-built-a-butterfly-species-classifier-using-tensorflow-and-python-79a67d2fe324?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[image-classification]]></category>
            <category><![CDATA[cnn-model]]></category>
            <category><![CDATA[butterfly]]></category>
            <category><![CDATA[cnn]]></category>
            <category><![CDATA[convolutional-network]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Tue, 24 Feb 2026 11:22:32 GMT</pubDate>
            <atom:updated>2026-02-24T11:22:33.921Z</atom:updated>
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        <item>
            <title><![CDATA[Building a 100-Class Sports Classifier with EfficientNetB0]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/building-a-100-class-sports-classifier-with-efficientnetb0-6529c5015181?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/1280/1*TEX7EXk5fkx0bqUpCvtNXg.png" width="1280"></a></p><p class="medium-feed-snippet">When it comes to deep learning, moving from a simple 2-class problem to a massive 100-class challenge is where you truly sharpen your&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/building-a-100-class-sports-classifier-with-efficientnetb0-6529c5015181?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/building-a-100-class-sports-classifier-with-efficientnetb0-6529c5015181?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[image-classification]]></category>
            <category><![CDATA[tensorflow]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[image-classification-api]]></category>
            <category><![CDATA[efficientnetb0]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Sun, 22 Feb 2026 13:44:36 GMT</pubDate>
            <atom:updated>2026-02-22T13:44:37.746Z</atom:updated>
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        <item>
            <title><![CDATA[I Migrated My Vision Pipeline to Keras Hub: Here Is What I Learned]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/i-migrated-my-vision-pipeline-to-keras-hub-here-is-what-i-learned-87e7a2869b9e?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/1280/1*YzCnpUPrzdEgvvGUdwbzoQ.png" width="1280"></a></p><p class="medium-feed-snippet">I swapped my legacy CV code for Keras Hub. Here is what happened.</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/i-migrated-my-vision-pipeline-to-keras-hub-here-is-what-i-learned-87e7a2869b9e?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/i-migrated-my-vision-pipeline-to-keras-hub-here-is-what-i-learned-87e7a2869b9e?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[kerashub]]></category>
            <category><![CDATA[keras]]></category>
            <category><![CDATA[tensoflow]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[image-classification]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Sat, 21 Feb 2026 10:54:17 GMT</pubDate>
            <atom:updated>2026-02-21T10:54:18.659Z</atom:updated>
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        <item>
            <title><![CDATA[I Built an AI to Grade Knee Osteoarthritis: A ResNet152V2 Deep Dive]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/i-built-an-ai-to-grade-knee-osteoarthritis-a-resnet152v2-deep-dive-fb969527fa79?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/1280/1*qv1MiMMIFGnpsZpJ2qlrXw.png" width="1280"></a></p><p class="medium-feed-snippet">In this ResNet152V2 TensorFlow tutorial, we aren&#x2019;t just processing pixels; we are training a high-performance residual network to detect&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/i-built-an-ai-to-grade-knee-osteoarthritis-a-resnet152v2-deep-dive-fb969527fa79?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/i-built-an-ai-to-grade-knee-osteoarthritis-a-resnet152v2-deep-dive-fb969527fa79?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[resnet-implementation]]></category>
            <category><![CDATA[resnet]]></category>
            <category><![CDATA[resnetv2]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[image-classification]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Fri, 20 Feb 2026 20:36:43 GMT</pubDate>
            <atom:updated>2026-02-20T20:47:49.867Z</atom:updated>
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        <item>
            <title><![CDATA[ConvNeXt Fine-Tuning Playbook: PyTorch Training on a Custom Dataset]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/convnext-fine-tuning-playbook-pytorch-training-on-a-custom-dataset-06b7b1f7a180?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/1200/1*tlwjfmtdN4gLxjp0_75yLg.png" width="1200"></a></p><p class="medium-feed-snippet">ConvNeXt is one of those models that feels &#x201C;best of both worlds&#x201D;: it keeps the speed and simplicity of CNNs, but it borrows modern design&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/convnext-fine-tuning-playbook-pytorch-training-on-a-custom-dataset-06b7b1f7a180?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/convnext-fine-tuning-playbook-pytorch-training-on-a-custom-dataset-06b7b1f7a180?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[convnext]]></category>
            <category><![CDATA[fine-tuning]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[pytorch]]></category>
            <category><![CDATA[image-classification]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Wed, 18 Feb 2026 18:09:17 GMT</pubDate>
            <atom:updated>2026-02-18T18:09:18.966Z</atom:updated>
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        <item>
            <title><![CDATA[CNN Image Classification TensorFlow for 30 Musical Instruments]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/cnn-image-classification-tensorflow-for-30-musical-instruments-e2ee15d0c8d4?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/1200/1*ki4fkrKntZsvWBDLqGa5Ow.png" width="1200"></a></p><p class="medium-feed-snippet">I wanted a model that can look at a single image and confidently say &#x201C;accordion&#x201D;, &#x201C;violin&#x201D;, or &#x201C;saxophone&#x201D; &#x2014; not by guessing, but by&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/cnn-image-classification-tensorflow-for-30-musical-instruments-e2ee15d0c8d4?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/cnn-image-classification-tensorflow-for-30-musical-instruments-e2ee15d0c8d4?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[python]]></category>
            <category><![CDATA[image-classification]]></category>
            <category><![CDATA[convolutional-network]]></category>
            <category><![CDATA[convolutional-neural-net]]></category>
            <category><![CDATA[convolution-neural-net]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Tue, 17 Feb 2026 15:47:07 GMT</pubDate>
            <atom:updated>2026-02-18T17:59:36.665Z</atom:updated>
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        <item>
            <title><![CDATA[I Generate Synthetic Images for Image Classification in Python (Prompt-to-Dataset Recipe)]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/image-classification-tutorials/i-generate-synthetic-images-for-image-classification-in-python-prompt-to-dataset-recipe-0768b9a59b7b?source=rss----0c1441fc7fc9---4"><img src="https://cdn-images-1.medium.com/max/1200/1*UgnskEEYUlOuaNtM1F4z9g.png" width="1200"></a></p><p class="medium-feed-snippet">When you need training images, the slow part is almost never the model.
 It&#x2019;s the dataset.
 Collecting images, cleaning duplicates&#x2026;</p><p class="medium-feed-link"><a href="https://medium.com/image-classification-tutorials/i-generate-synthetic-images-for-image-classification-in-python-prompt-to-dataset-recipe-0768b9a59b7b?source=rss----0c1441fc7fc9---4">Continue reading on Image Classification Tutorials »</a></p></div>]]></description>
            <link>https://medium.com/image-classification-tutorials/i-generate-synthetic-images-for-image-classification-in-python-prompt-to-dataset-recipe-0768b9a59b7b?source=rss----0c1441fc7fc9---4</link>
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            <category><![CDATA[synthetic-images]]></category>
            <category><![CDATA[generated-images]]></category>
            <category><![CDATA[image-classification]]></category>
            <category><![CDATA[python]]></category>
            <category><![CDATA[stable-diffusion]]></category>
            <dc:creator><![CDATA[Eran Feit]]></dc:creator>
            <pubDate>Tue, 17 Feb 2026 12:42:19 GMT</pubDate>
            <atom:updated>2026-02-18T17:59:19.801Z</atom:updated>
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