Shypd.aiThe largest open index of AI toolstf_unet is an open-source TensorFlow implementation of the U-Net architecture for image segmentation. It provides a generic framework for training deep convolutional neural networks on various imaging data.
Trending
About
tf_unet is an open-source project offering a generic U-Net implementation developed with TensorFlow, specifically designed for image segmentation tasks. Originally used for Radio Frequency Interference mitigation, this tool is highly adaptable and can be applied to diverse imaging data, from detecting circles in noisy images to identifying galaxies and stars in wide-field imaging. The project provides Jupyter notebooks for toy problems and RFI mitigation, making it accessible for both learning and practical applications. While the project is discontinued in favor of a TensorFlow 2 compatible version, it remains a valuable resource for understanding and implementing U-Net architectures.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
