HuaizhengZhang/Active-Learning-as-a-Service
A scalable & efficient active learning/data selection system for everyone.
Building high-performing AI models often requires vast amounts of labeled data, which is expensive and time-consuming. This tool helps machine learning practitioners efficiently select the most impactful data points from a large, unlabeled dataset to send for labeling, reducing overall costs. You feed it a large pool of unlabeled data (like images or text documents), and it outputs a smaller, highly informative subset ready for human annotation. This is ideal for anyone developing AI models, particularly those managing large datasets and tight labeling budgets.
218 stars. No commits in the last 6 months.
Use this if you need to train a machine learning model but want to minimize the cost and time spent on manually labeling your entire dataset.
Not ideal if you already have a fully labeled dataset or if your data labeling budget is unlimited.
Stars
218
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 08, 2024
Commits (30d)
0
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