readme: ---
  tags:
  - fastai
  
  ---
  
  
  # Model card
  
  ## Model description
  A neural network model trained with fastai and timm to classify 400 bird species in an image. 
  
  ## Intended uses & limitations
  This bird classifier is used to predict bird species in a given image. The Image fed should have only one bird. This is a multi-class classification which will output a class even if there is no bird in the image. 
  
  ## Training and evaluation data
  Pre-trained model used is Efficient net from timm library, specifically *efficientnet_b3a*. The dataset trained is from Kaggle [BIRDS 400 - SPECIES IMAGE CLASSIFICATION](https://www.kaggle.com/datasets/gpiosenka/100-bird-species). Evaluation accuracy score on the given test set from Kaggle is 99.4%. Please note this is likely not representative of real world performance, as mentioned by dataset provider that the test set is hand picked as the best images. 
  