Learn practical skills, build real-world projects, and advance your career
Updated 3 years ago
!pip install jovian --upgrade --quietClassifying Cars of Different Makes Images
The objective of this project is to classify cars of different makes and model upon a set of images. The idea is to develop a model that could be able to predict accurately a given car images using Convolutional Neural Networks. There are 189 cars classes for the project
!pip install opendatasets --upgrade --quietimport opendatasets as od
dataset_url = 'https://www.kaggle.com/sungtheillest/vehicledetected-stanford-cars-data-classes-folder'
od.download(dataset_url)Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds
Your Kaggle username: nnaemekahillaryonah
Your Kaggle Key: ··········
0%| | 9.00M/2.62G [00:00<00:38, 73.2MB/s]Downloading vehicledetected-stanford-cars-data-classes-folder.zip to ./vehicledetected-stanford-cars-data-classes-folder
100%|██████████| 2.62G/2.62G [00:39<00:00, 71.6MB/s]