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My attempt at collecting data and training a car connoisseur AI

Perl 13.10% Python 65.19% Makefile 21.71%
pictures fastai machine-learning vision

406coupe's Introduction

406 coupe

My first data science project:

  • Collecting pictures of 406 coupe
  • Labelling them (year, fuel, price, options, etc)
  • Training a neural network
  • ?????
  • Profit !

Training

Data collection

  • If you have pictures on your computer, put them in a folder called my_pics
  • Urls of images can be put in a file called my_urls.txt
  • Leboncoin ads you want to keep can be placed in a folder named my_ads

To download ads from the 15 first pages :

make leboncoin PAGES=15
make ads

To download and resize all known images, so that it fits in a 450x450 square :

make pics
make resize THUMB_SIZE=450

To check dataset status :

make status
Data set : 2504 images (143M)
You provided 45 images, 99 urls and 120 ads
Downloaded 688 out of 688 known ads from leboncoin
Ads (including yours) provide 2367 urls

406coupe's People

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