ποΈ Introduction
The core functionality of this project is called "Document Classification".
ποΈ Installation
Currently, there is no installation package available on PyPI, and there are no plans for one in the near future.
ποΈ QuickStart
We provide a simple model inference interface that includes logic for preprocessing and postprocessing.
ποΈ Advanced
When invoking the DocClassifier model, you can perform advanced settings by passing parameters.
ποΈ Model Design
A comprehensive model functionality is not achieved overnight; it requires multiple iterations of adjustments and designs.
ποΈ Evaluation
The test dataset was provided by the client who proposed this project.
ποΈ Discussion
Based on our experiments, we have developed a model with promising performance. This model achieved over 90% accuracy on our test set and has demonstrated good results in practical applications.
ποΈ Training
Please ensure that you've built the foundational image docsaidtrainingbase_image from DocsaidKit.
ποΈ Submission
The real world is full of surprises, and you're bound to encounter situations where things don't quite fit.