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[P] 64,000 pictures of cars, labeled by make, model, year, price, horsepower, body style, etc.

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' 

submitted by /u/nicolas-gervais
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.