OmniSeg
OmniSeg is a unified segmentation framework designed to support multi-domain segmentation tasks. It provides a modular architecture that allows researchers to train and evaluate segmentation models across diverse datasets.
Research Platforms and Projects
CircuitLab AI develops several research platforms and experimental systems that support AI experimentation and real-world applications.
UniSeg
UniSeg is a universal segmentation architecture designed to generalize across multiple segmentation tasks. The system enables flexible experimentation with segmentation models and supports scalable training pipelines.
BrainSeg is a specialized AI framework for brain MRI analysis and medical image segmentation. The project focuses on accurate and efficient segmentation of brain structures for research and clinical analysis.
PowerViz
PowerViz is an intelligent visualization and analytics platform designed for analyzing energy systems and infrastructure data. It enables advanced monitoring and visualization of energy consumption patterns and system performance.
sqlmap-gui is a Python-based graphical user interface (GUI) for interacting with the powerful sqlmap penetration testing tool. This GUI simplifies the use of sqlmap, enabling users to execute SQL injection tests and analyze vulnerabilities without requiring extensive command-line experience.
MRI-SEG Lite - Lightweight Spine MRI Segmentation
MRI-SEG Lite is a lightweight version of MRI-SEG built for edge devices such as Raspberry Pi. It performs automatic spine MRI classification and segmentation locally, reducing dependence on GPUs and cloud infrastructure.
Research Toolkits
CircuitLab AI also develops experimental research toolkits and AI frameworks that help researchers rapidly prototype and evaluate new machine learning models.
Recent Compiled Works
An overall preview of recent project outcomes and integrated research demos.
