In a blog post, Microsoft said that the system “can generate captions for images that are, in many cases, more accurate than the descriptions people write. ... to accessible AI. Describing an image accurately, and not just like a clueless robot, has long been the goal of AI. nocaps (shown … Nonetheless, Microsoft’s innovations will help make the internet a better place for visually impaired users and sighted individuals alike.. Smart Captions. Back in 2016, Google claimed that its AI systems could caption images with 94 percent accuracy. To accomplish this, you'll use an attention-based model, which enables us to see what parts of the image the model focuses on as it generates a caption. Microsoft’s latest system pushes the boundary even further. The primary goal of this course is to teach you build Image Captioning Deep Learning Project using which one can see model predicting the caption of the image provided. The model employs techniques from computer vision and Natural Language Processing (NLP) to extract comprehensive textual information about the given images. Model incorporates both computer vision as well as text processing. Automatic image captioning … On the left-hand side, we have image-caption examples obtained from COCO, which is a very popular object-captioning dataset. https://aihubprojects.com/image-captioning-using-deep-learning Microsoft has developed an image-captioning system that is more accurate than humans. Image Source; License: Public Domain. Seeing AI –– Microsoft new image-captioning system. Given an image like the example below, our goal is to generate a caption such as "a surfer riding on a wave". By showing the AI pre-captioned images of a specific scene, Google was able to train the algorithm to properly caption similar (but not identical) scenes itself without help: Image captioning has witnessed steady progress since 2015, thanks to the introduction of neural caption generators with convolutional and recurrent neural networks [GoogleNIC, Karpathy].Such progress, however, has been by and large demonstrated on curated datasets like MS-COCO[MSCOCO], whose limited size and scarcity of contexts result in image captioning systems that tend to produce … The AI-powered image captioning model is an automated tool that generates concise and meaningful captions for prodigious volumes of images efficiently. Microsoft says it developed a new AI and machine learning technique that vastly improves the accuracy of automatic image captions. Microsoft has developed a new image-captioning algorithm that exceeds human accuracy in certain limited tests. 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