SegLab is a dedicated segmentation initiative under CircuitLab AI, built to advance segmentation-related research, model engineering, and tool development for practical deployment.
About SegLab
The segmentation-focused research and development unit of CircuitLab AI.
Our work focuses on designing robust segmentation systems that can transfer from experimentation to production-grade workflows across medical imaging and broader computer vision use cases.
Connection to CircuitLab AI
CircuitLab AI is a research initiative at the National Institute of Technology Meghalaya, supported by the Department of Computer Science and Engineering, with institutional support from the Centre for Innovation, Incubation and Entrepreneurship (CIIE) and the Office of the Director.
SegLab operates as a focused track inside CircuitLab AI for segmentation science. This structure helps maintain deep specialization while benefiting from the broader AI systems research ecosystem of CircuitLab AI.
What SegLab Builds
Model Architectures
Segmentation architectures for multi-domain and universal segmentation tasks.
Training Pipelines
Reproducible workflows for training, evaluation, and benchmarking segmentation models.
Deployment Tooling
Practical tools for efficient inference and real-world segmentation use.