Training dataset contains 2500 images of 50 bird classes. Data is hear
Accuracy on the test data is 82.6%
suntim/bird-classification
Bird Classification using VGG16-pretrained model (Caffe and Keras implementations)
Python
Bird Classification using VGG16-pretrained model (Caffe and Keras implementations)
Python
Training dataset contains 2500 images of 50 bird classes. Data is hear
Accuracy on the test data is 82.6%