Download it here from my Google Drive. The size is 681MB compressed.

You can visit my GitHub repo here (code is in Python), where I give examples and give a lot more information. Leave a star if you enjoy the dataset!

It’s basically every single picture from the site thecarconnection.com. Picture size is approximately 320×210 but you can also scrape the large version of these pictures if you tweak the scraper. I did a quick classification example using a CNN: Audi vs BMW with CNN.

Complete list of variables included for all pics:

'Make', 'Model', 'Year', 'MSRP', 'Front Wheel Size (in)', 'SAE Net Horsepower @ RPM', 'Displacement', 'Engine Type', 'Width, Max w/o mirrors (in)', 'Height, Overall (in)', 'Length, Overall (in)', 'Gas Mileage', 'Drivetrain', 'Passenger Capacity', 'Passenger Doors', 'Body Style'