metadata
tags:
- biology
- pytorch
metrics:
- accuracy
pipeline_tag: image-classification
Butterfly image classification model that use pre-trained cnn model resnet18 and fine-tuned the last fully connected layer to classify 75 categories of butterfly species. The model used the best checkpoint with 90% test accuracy. The model constructed on Pytorch environment.
training and testing result: Epoch: 28 Train Loss: 0.17 Train Accuracy: 0.96 Test Accuracy: 0.90