metadata

tags:
  - image-classification

Uno Card Detector AI Model

This repository contains the Uno Card Detector AI Model designed to identify Uno cards from images using a custom-trained neural network.

Model Description

This model was trained to detect and classify Uno cards using a dataset of card images. It uses convolutional neural networks (CNNs) to process the images and output predictions for the card type (e.g., colors, special cards). The model is capable of identifying cards in real-time, making it suitable for card-based games or recognition systems.

Files Included:

pytorch_model.bin: The model's trained weights.
config.json: Configuration file for the model architecture and hyperparameters.
metadata.json: Metadata including information about the dataset and training process.

How to Use the Model

Load the Model in Python:

To load and use the model, you can use the Hugging Face transformers or huggingface_hub library. Here's an example using huggingface_hub:

from huggingface_hub import hf_hub_download

# Download the model weights and configuration
model_file = hf_hub_download(repo_id="szili2011/uno-card-detector-ai", filename="pytorch_model.bin")
config_file = hf_hub_download(repo_id="szili2011/uno-card-detector-ai", filename="config.json")

## Try the Model

You can use the Uno Card Detector AI model via Hugging Face's Inference API:

[![Use Model](https://img.shields.io/badge/Use%20Model-HuggingFace-blue)](https://huggingface.co/szili2011/uno-card-detector-new)