fix word in captioning guide
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- "Deep learning has been achieving superhuman level performance using image-based models that either perform object classification, detect objects of interest, or segment boundaries of different features. On the other hand, language-based models perform well on tasks such as Named Entity recognition, text classification etc. In this guide explain a new model which is a combination of both image and text. Image captioning model, as the name suggests, generates textual captions of an image. Like all supervised learning scenarios, this model also requires labelled training data in order to train a model. Image captioning technique is mostly done on images taken from handheld camera, however, some latest researches have been done to explore idea captioning for remote sensing images. These could help describe the features on the map for accessibility purposes.\n",
+ "Deep learning has been achieving superhuman level performance using image-based models that either perform object classification, detect objects of interest, or segment boundaries of different features. On the other hand, language-based models perform well on tasks such as Named Entity recognition, text classification etc. In this guide explain a new model which is a combination of both image and text. Image captioning model, as the name suggests, generates textual captions of an image. Like all supervised learning scenarios, this model also requires labelled training data in order to train a model. Image captioning technique is mostly done on images taken from handheld camera, however, some latest researches have been done to explore image captioning for remote sensing images. These could help describe the features on the map for accessibility purposes.\n",
"Figure 1 shows an example of a few images from the RSICD dataset [1]. This dataset contains up to 5 unique captions for ~11k images."
]
},
