An interactive image annotation pipeline
Sabyasachi Chakrabarty
0
Data Scientist
Data Visualizer
AI Developer
Python
scikit-learn
seaborn
This project provides a streamlined pipeline and user-friendly interface for annotating biological tissue samples. The annotated data is exported for use in training Deep Learning models with PyTorch.
Features
Tissue Enumeration Pipeline
Automatically enumerates individual tissues for annotation.
Interactive Annotation Interface utilizing pigeonXt
Offers an easy-to-use, interactive interface for biologists to annotate tissue properties.
Annotated properties are exported as pickle files, ready for training Deep Learning models in PyTorch.
Like this project
0
An interactive image annotation pipeline for biologist demonstrating AI's potential in medical image analysis
Likes
0
Views
0
Tags
Data Scientist
Data Visualizer
AI Developer
Python
scikit-learn
seaborn
Sabyasachi Chakrabarty
Data Science Expert with Corporate & Research Experience
MPI-and-OpenMPI-based-PingPongLatency
Kaggle PlayGround series competitions
Embryonic-cardiac-Tissue-Profiling