Schematics Recognition
ML pipeline for detecting and classifying equipment schematics
Schematics Recognition
ML pipeline for detecting and classifying parts in equipment schematics diagrams.
Repository
Overview
Uses computer vision models trained on annotated schematics (via CVAT) to:
- Detect individual parts in schematic diagrams
- Classify part types and extract part numbers
- Generate structured data for the parts catalog
Stack
- Python, PyTorch
- CVAT for annotation
- GCP for training infrastructure