
# Resnet34 Pokemon Card Classifier

## Model Description

This is a resnet34 model fine-tuned with fastai to [classify real and fake Pokemon cards (dataset)](https://www.kaggle.com/datasets/ongshujian/real-and-fake-pokemon-cards).

Here is a colab notebook that shows how the model was trained and pushed to the hub: [link](https://github.com/mindwrapped/pokemon-card-checker/blob/main/pokemon_card_checker.ipynb).

## Intended uses & limitation

This model is trained to identify real vs fake cards based on the backs of the cards, not the front.

## How to use

```python
from huggingface_hub import from_pretrained_fastai

# Pull model from hub
learn = from_pretrained_fastai('hugginglearners/pokemon-card-checker')

# Get prediction for this image
pred_label, _, scores = learn.predict(img)
```

## Training data

Dataset located here: [link](https://www.kaggle.com/datasets/ongshujian/real-and-fake-pokemon-cards).

{"license": ["cc0-1.0"], "tags": ["fastai", "resnet", "computer-vision", "classification", "image-classification", "binary-classification"]}
fastai resnet computer-vision classification image-classification binary-classification license:cc0-1.0 has_space region:us
TAGS
#fastai #resnet #computer-vision #classification #image-classification #binary-classification #license-cc0-1.0 #has_space #region-us 


# Resnet34 Pokemon Card Classifier

## Model Description

This is a resnet34 model fine-tuned with fastai to classify real and fake Pokemon cards (dataset).

Here is a colab notebook that shows how the model was trained and pushed to the hub: link.

## Intended uses & limitation

This model is trained to identify real vs fake cards based on the backs of the cards, not the front.

## How to use



## Training data

Dataset located here: link.

# Resnet34 Pokemon Card Classifier ## Model Description

This is a resnet34 model fine-tuned with fastai to classify real and fake Pokemon cards (dataset).

Here is a colab notebook that shows how the model was trained and pushed to the hub: link. ## Intended uses & limitation

This model is trained to identify real vs fake cards based on the backs of the cards, not the front. ## How to use ## Training data

Dataset located here: link.
TAGS
#fastai #resnet #computer-vision #classification #image-classification #binary-classification #license-cc0-1.0 #has_space #region-us 
 # Resnet34 Pokemon Card Classifier ## Model Description

This is a resnet34 model fine-tuned with fastai to classify real and fake Pokemon cards (dataset).

Here is a colab notebook that shows how the model was trained and pushed to the hub: link. ## Intended uses & limitation

This model is trained to identify real vs fake cards based on the backs of the cards, not the front. ## How to use ## Training data

Dataset located here: link.
passage: TAGS
#fastai #resnet #computer-vision #classification #image-classification #binary-classification #license-cc0-1.0 #has_space #region-us 
# Resnet34 Pokemon Card Classifier## Model Description

This is a resnet34 model fine-tuned with fastai to classify real and fake Pokemon cards (dataset).

Here is a colab notebook that shows how the model was trained and pushed to the hub: link.## Intended uses & limitation

This model is trained to identify real vs fake cards based on the backs of the cards, not the front.## How to use## Training data

Dataset located here: link.