Overview

The Car Connection Picture Dataset is a dataset for car classificatioin.

Instruction

HOW TO RUN

1. Copy all .py files into a folder.
   • Make sure you have all the dependencies installed and up to date (e.g., bs4, requests, etc).
2. In main.py set path to where the files are, and directory where you want the images to land
   • You do not need to create the directory yourself
3. Runmain.py. I suggest you try it with a portion of the data first, in case an error emerges later.
   • For instance, in scrape.py line 27, replace for make in listed: to for make in listed[1:3]:

EXAMPLE. Example — Audi vs BMW ConvNet.ipynb : example of a deep learning classification task with Pytorch

WARNING: You may have issues if you use Python 3.6

FAQ

1. How do I get the large pictures?
   • In scrape.py, row 68, change this line:
   • for ix, photo in enumerate(re.findall('sml.+?_s.jpg', fetch_pics_url)[:150], 1):
   • to this line:
   • for ix, photo in enumerate(re.findall('lrg.+?_l.jpg', fetch_pics_url)[:150], 1):
   • You can use sml, med, lrg for your preferred image size

FILES