IBM releases annotation tool that taps AI to label images

Data labeling is an arduous — if necessary — part of the AI model training process. Currently, it takes around 200-500 samples of annotated images for a model to learn to detect a single object. Fortunately, freely available tools help automate the most monotonous sub-tasks, and IBM has recently published a new one on GitHub. It’s part of the company’s Cloud Annotations project, which seeks to develop easy and collaborative open source image annotation tools for teams and individuals.
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