An Introduction to Active Learning

Active learning aims to optimize the annotation of your dataset and train the best possible model using the least amount of training data. It's a supervised learning approach that involves an iterative process between your model's predictions and your data. By annotating fewer images overall, you save time and money while achieving an optimized model.

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