README.md

---
library_name: timm
---
# A Generalized Deep Learning-Based Pipeline for Historical Manuscript Dating

Contains all trained models for the dating pipeline

In each directory models are named as follows: 
- PyTorch Dating CNN: "model_epoch_[epoch_number]\_split\_[split_number].pt"
- SVM feature aggregation: "classifier_model\_split\_[split_number].pkl"

CSV files indicate the performance while training.

Repository is structured as follows:

- Binet_aug_norm: BiNet model with synthetic images
- Binet_norm: Standard BiNet model
- CLAMM_P1_Crossval: 5-fold cross-validation for the CLaMM dataset
- HIMANIS_P1_Crossval: 5-fold cross-validation for the Himanis dataset
- MPS_P1_Crossval: 5-fold cross-validation for the MPS dataset
- SCRIBBLE_P1_Crossval: 5-fold cross-validation for the ScribbleLens dataset