Showing 8 of 8 projects
A fast and flexible Python library for image augmentation in computer vision tasks like classification, segmentation, and object detection.
A PyTorch library providing 12+ semantic segmentation model architectures with 800+ pretrained convolutional and transformer-based encoders.
A comprehensive library for image processing in Python with algorithms for segmentation, filtering, morphology, and feature detection.
A procedural Blender pipeline for generating photorealistic training images for computer vision and machine learning.
A comprehensive guide with diagrams and best practices for implementing corporate network segmentation across four security maturity levels.
A free, open-source multi-platform software for 3D visualization and medical image analysis.
A generalist algorithm for cellular segmentation with human-in-the-loop training and superhuman generalization across diverse microscopy images.
An end-to-end Python pipeline for semantic segmentation of aerial and satellite imagery to extract features like buildings and roads.
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