Deci Releases DataGradients- an Open-Source Tool to Extract Critical Insights from Datasets
TEL AVIV, Israel (PRWEB) July 12, 2023 -- Deci, the deep learning company harnessing AI to build AI, today announced the release of DataGradients, a free, open-source tool for profiling computer vision datasets and distilling critical insights.
In the realm of computer vision, an AI model’s power is inherently linked to the quality of the data used for training. Identifying issues in the dataset is paramount, as it not only helps practitioners steer clear of training roadblocks but also sheds light on a model’s potential underperformance. 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.
“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.”
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.
If you would like to profile your data or start training your models, visit DataGradients on Deci’s GitHub repository.
About Deci
Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company's deep learning development platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment including cloud, edge, and mobile, allowing them to revolutionize industries with innovative products. The platform is powered by Deci's proprietary automated Neural Architecture Construction technology (AutoNAC), which automatically generates and optimizes deep learning models' architecture and allows teams to accelerate inference performance, enable new use cases on limited hardware, shorten development cycles and reduce computing costs. Founded in 2019, Deci's team of deep learning engineers and scientists are dedicated to eliminating production-related bottlenecks across the AI lifecycle.
Garrett Krivicich, Deci, https://deci.ai/, 972 0587860008, [email protected]
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