<jupyter_start><jupyter_text>Image Classification<jupyter_code># clone github repository
!git clone https://github.com/respect5716/Image_Classification.git
%cd Image_Classification
# install libraries
!pip install -r requirements.txt
# run experiment
!python main.py --model vgg --project Image_Classification<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09037900874635568, 'fraction_numerical': 0.011661807580174927, 'mean_word_length': 7.0, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '234881', 'license': 'MIT', 'n_tokens_mistral': 111, 'n_tokens_neox': 105, 'n_words': 24, 'path': 'run_colab.ipynb', 'repo_name': 'respect5716/Tensorflow_Cifar10', 'size': '343'}