readme: ---
  tags:
  - fastai
  - image-classification
  ---
  
  
  # Model card
  
  ## Model description
  
  This model has been trained with convnext_tiny_in22k with [Flowers-101 datasets in Kaggle](https://www.kaggle.com/competitions/tpu-getting-started).
  
  **Useful graphs logged with wandb**
  
  ![image](https://user-images.githubusercontent.com/24592806/177065734-2d2920d2-adf2-4d73-8e89-a59e269544d4.png)
  ![image](https://user-images.githubusercontent.com/24592806/177065795-5c66ae3f-5e05-44c3-a6e5-0abb302c7d50.png)
  
  ## Intended uses & limitations
  
  - The model can be used be for classifying flowers only.
  
  **Limitations**
  
  - Even if the picture uploaded is not of a flower, you can can notice [it will be predicted as of flower](https://www.kaggle.com/competitions/tpu-getting-started).
  - The model on validation dataset has accuracy of 94.23%
  
  ![image](https://user-images.githubusercontent.com/24592806/177065484-1fae6a79-5dbe-471a-8c86-9c5aaa336bc6.png)
  
  
  ## Training and evaluation data
  
  - The models has been trained and evaluated with [Flowers-101 datasets in Kaggle](https://www.kaggle.com/competitions/tpu-getting-started).
  - We used a Random Splitter to train and evaluate data
  
  