hanky2397/schematic_images

Schematic to HSPICE Netlist Dataset

If you want to train wire detection model, you can refer to our GitHub repository: Netlistfy This dataset is designed for the task of converting schematic images into HSPICE netlists. It includes various annotations and labels required for object detection and net extraction. The dataset is structured as follows:

Dataset Structure

├── images.zip # Schematic images 
├── components.zip # Component annotations (YOLO format) and orientations 
├── component_id # Mapping of component types to YOLO class IDs 
├── pkl.zip # Transformer labels for net extraction 
├── sp.zip # HSPICE netlists for each circuit

Description of Each File

• images.zip: Contains schematic images used as input.
• components.zip: Includes information about the components in each schematic, stored in YOLO format with:
  • Component class
  • Bounding box coordinates
  • Orientation (e.g., R0, R90, R180, R270)
• component_id: A text file mapping component types (e.g., resistor, capacitor) to their YOLO class ID.
• pkl.zip: Stores transformer labels for net extraction. Each .pkl file corresponds to a schematic and contains net connections extracted from the image.
• sp.zip: Contains the ground truth HSPICE netlist for each schematic.