Google Image Captioning Artificial Intelligence System Has 94 Percent Accuracy

Advertisement Google has just released the latest version of its image captioning system as an open source model in TensorFlow. The new iteration is capable of providing image captions that are 93.9 percent accurate. According to Google, the new release brings forth significant improvements. The system is much quicker to train and can produce more accurate and detailed image descriptions when compared to the original. “Today’s code release initializes the image encoder using the Inception V3 model, which achieves 93.9 percent accuracy on the ImageNet classification task,” says Chris Shallue, a Google Brain team software engineer. “Initializing the image encoder with a better vision model gives the image captioning system a better ability to recognize different objects in the images, allowing it to generate more detailed and accurate descriptions.” Google first taught…


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