README.md

---
tags:
- image-classification
- timm
- chart
- charts
- fintwit
- stocks
- crypto
library_name: timm
license: mit
datasets:
- StephanAkkerman/fintwit-charts
language:
- en
metrics:
- accuracy
- f1
- precision
- recall
pipeline_tag: image-classification
base_model: timm/efficientnet_b0.ra_in1k
---
# Chart Recognizer

chart-recognizer is a finetuned model for classifying images. It uses efficientnet as its base model, making it a fast and small model.
This model is trained on my own dataset of financial charts posted on Twitter, which can be found here [StephanAkkerman/fintwit-charts](https://huggingface.co/datasets/StephanAkkerman/fintwit-charts).

## Intended Uses

chart-recognizer is intended for classifying images, mainly images posted on social media.

## Dataset

chart-recognizer has been trained on my own dataset. So far I have not been able to find another image dataset about financial charts.
- [StephanAkkerman/fintwit-charts](https://huggingface.co/datasets/StephanAkkerman/fintwit-charts): 1,978 images.

## More Information

For a comprehensive overview, including the training setup and analysis of the model, visit the [chart-recognizer GitHub repository](https://github.com/StephanAkkerman/chart-recognizer).

## Usage

Using [HuggingFace's transformers library](https://huggingface.co/docs/transformers/index) the model can be converted into a pipeline for image classification.

```python
from transformers import pipeline

# Create a sentiment analysis pipeline
pipe = pipeline(
    "image-classification",
    model="StephanAkkerman/chart-recognizer",
)

# Get the predicted sentiment
print(pipe(image))
```

## Citing & Authors

If you use chart-recognizer in your research, please cite me as follows:

```
@misc{chart-recognizer,
  author = {Stephan Akkerman},
  title = {chart-recognizer: A Specialized Image Model for Financial Charts},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/StephanAkkerman/chart-recognizer}}
}
```

## License

This project is licensed under the MIT License. See the [LICENSE](https://choosealicense.com/licenses/mit/) file for details.