Deci’s DataGradients Extracts Critical Insights from Datasets

Deci, the deep learning company harnessing AI to build AI, is releasing DataGradients, a free, open-source tool for profiling computer vision datasets and distilling critical insights.

“DataGradients empowers data scientists to streamline their model development and training process, with crystal-clear visibility into their data. With DataGradients, we’ve made it that much easier to extract actionable insights from one’s datasets,” said Yonatan Geifman, CEO and co-founder of Deci. “DataGradients marks our third tool released as open source to the benefit of the wider AI community, following our launch of SuperGradients, our free, open-source training library for PyTorch-based deep learning models, and YOLO-NAS, our groundbreaking object detection foundation model.”

According to the company, using DataGradients, data scientists can easily analyze the health of their data with one line of code, swiftly identifying problems such as corrupted data, distributional shifts between train and test sets, duplicate annotations, among many others.

Users then receive actionable insights on how to proactively mitigate such issues to streamline their model design and training processes, thereby ensuring optimal performance and reliable results.

A good read on a dataset’s attributes can help streamline decisions like the appropriate model choice, the best loss function, and the ideal optimization method.

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