Deeplearning Project Assignment
Image Classification of 250 Bird Species dataset
In this project, I trained a
ResNet-n (n=9) neural networks architecture with a different layers to classify a diverse set of 250 Bird Species from the Kaggle dataset. In this project, I used the 250 Birds Species Dataset, which consists of 250 bird species. 35215 training images, 1250 test images(5 X 250 species) and 1250 validation images(5 X 250 species). All images are 224 X 224 X 3 color images in jpg format. Also includes a “consolidated” image set that combines the training, test and validation images into a single data set.
Let's start by installing jovian library for link my notebook with my profile.
# Jovian Commit Essentials # Please retain and execute this cell without modifying the contents for `jovian.commit` to work !pip install jovian --upgrade -q import jovian # jovian.utils.colab.set_colab_file_id('1lgTTsO6CuYS49m24tKeRN6uSpkipyE3Q') jovian.utils.colab.set_colab_file_id('1VYHHrXA8mAi2fQi5tTmjiTLCa0bc_WjL')
Mounting the google drive