Labeling image data using the Data Labeling feature of Azure Machine Learning
In the field of computer vision, object detection is a challenging task for predicting the location of objects in an image and predicting the object types. Just like any other supervised machine learning task, in order to train an object detection model, we need to have training data and, in this case, a lot of labeled data, as deep learning works best on a large labeled dataset. Data scientists who develop computer vision models know how tedious and time-consuming it can be to label images, and even more time-consuming when it comes to labeling images for object detection models. The Azure Machine Learning (Azure ML) service has a powerful feature called Data Labeling, which significantly enhances the user experience for image labeling, leveraging built-in capabilities such as ML-assisted labeling by automatically training a model to pre-label images for you to review, accelerating the labeling process.
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