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tutorial.ipynb
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tutorial.ipynb
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"source": [
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"# 3. Train\n",
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"\n",
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"<p align=\"\"><a href=\"https://roboflow.com/?ref=ultralytics\"><img width=\"1000\" src=\"https://uploads-ssl.webflow.com/5f6bc60e665f54545a1e52a5/615338ba77195c71bd2c5ab1_computer-vision-flow.png\"/></a></p>\n",
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"<p align=\"\"><a href=\"https://roboflow.com/?ref=ultralytics\"><img width=\"1000\" src=\"https://uploads-ssl.webflow.com/5f6bc60e665f54545a1e52a5/615627e5824c9c6195abfda9_computer-vision-cycle.png\"/></a></p>\n",
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"Close the active learning loop by sampling images from your inference conditions with the `roboflow` pip package\n",
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"<br><br>\n",
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"\n",
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