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examples/enrichment-zero-shot-classification.ipynb

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"- [Recognize Anything](https://github.com/xinyu1205/recognize-anything) - To use the RAM and Tag2Text model.\n",
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"- [gdown](https://github.com/wkentaro/gdown) - To download demo data hosted on Google Drive.\n",
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"\n",
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"> **Note** - We highly recommending running this notebook in CUDA enabled environment to reduce the run time. "
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"> 🗒 **Note** - We highly recommending running this notebook in CUDA enabled environment to reduce the run time. "
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examples/enrichment-zero-shot-detection.ipynb

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"- [MMEngine](https://github.com/open-mmlab/mmengine), [MMDetection](https://github.com/open-mmlab/mmdetection), [groundingdino-py](https://github.com/IDEA-Research/GroundingDINO) - To use the Grounding DINO and MMDetection model.\n",
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"- [gdown](https://github.com/wkentaro/gdown) - To download demo data hosted on Google Drive.\n",
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"\n",
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"> **Note** - We highly recommending running this notebook in CUDA enabled environment to reduce the run time. "
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"> 🗒 **Note** - We highly recommending running this notebook in CUDA enabled environment to reduce the run time. "
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examples/enrichment-zero-shot-segmentation.ipynb

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"- [Segment Anything Model](https://github.com/facebookresearch/segment-anything) - To use the SAM model.\n",
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"- [gdown](https://github.com/wkentaro/gdown) - To download demo data hosted on Google Drive.\n",
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"\n",
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"> **Note** - We highly recommending running this notebook in CUDA enabled environment to reduce the run time. "
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"> 🗒 **Note** - We highly recommending running this notebook in CUDA enabled environment to reduce the run time. "
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