Showing 7 of 7 projects
A PyTorch library providing 12+ semantic segmentation model architectures with 800+ pretrained convolutional and transformer-based encoders.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A U-Net implementation for brain tumor segmentation using the BRATS 2017 dataset with data augmentation and dice loss.
A tool for cell instance aware segmentation in densely packed 3D volumetric images, originally developed for plant tissues.
An open-source benchmark solution for the Kaggle TGS Salt Identification Challenge using semantic segmentation.
An open-source solution for the Airbus Ship Detection Challenge, providing a benchmark and base for ship detection in satellite imagery.
A general-purpose U-Net implementation in Keras for image segmentation tasks.
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