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File:Data annotators labeling data by Nacho Kamenov & Humans in the Loop.jpg

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Two women are working at computers to visualise the human effort needed to prepare training data for Artificial Intelligence (AI)

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Description
English: Data annotation is a key activity required in order to prepare training data for Artificial Intelligence. Manual data annotation is especially needed when dealing with unstructured data: images, videos, and text. For example, if we want to train an AI model to recognize animals on images, we will need the help of data annotators who would draw bounding boxes or add tags to each image depending on what animal it depicts. Data annotation work is being performed by hundreds of workers around the world who use the job as a means of livelihoods.
Date
Source BBC, Better Images of AI, https://betterimagesofai.org/images
Author Nacho Kamenov and Humans in the Loop

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current16:57, 21 April 2023Thumbnail for version as of 16:57, 21 April 20232,362 × 3,543 (5.03 MB)Foeromeo (talk | contribs)Uploaded a work by Nacho Kamenov and Humans in the Loop from BBC, Better Images of AI, https://betterimagesofai.org/images with UploadWizard

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