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# ImageAI-R
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Script to load a local image, use TensorFlow/Keras to identify people, pets and objects, creating tags based on the ImageNet classification database (from a total of 1000 tags available).
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R scripts developed to load a local image, identify people/pets/objects and create tags based on the ImageNet classification database (from a total of 1000 tags available). Additionally, it tries to identify the landmark/location based on Google/Azure Vision and Google/Bing maps API, using all this information to automatically generate a prompt to Bing Chat.
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There are now 3 types of scripts:
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There are 4 types of scripts:
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- A **simple** one that uses only a single AI model ([1-AI_image_tag_simple.R](1-AI_image_tag_simple.R));
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- A more **complex** that uses 15 models at the same time, knowing that depending on the image some models work better than others. This script aims to get the classification tags from those more prevalent and with higher prediction confidence accross all models ([2-AI_image_tag_multimodal.R](2-AI_image_tag_multimodal.R));
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