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Building a car image dataset from scraping.
License: Apache License 2.0
This project forked from d-grossman/scrapecars
Building a car image dataset from scraping.
License: Apache License 2.0
How lazy can I be making a dataset of car images car make and models derived from: https://github.com/n8barr/automotive-model-year-data most popular car colors : http://www.forbes.com/pictures/egdh45ijhf/1-white/#413d9991b1d4 deepLearning repos: https://github.com/fchollet/deep-learning-models ----- general workflow: make a datafile of all the URLS to crawl use datafile to download the URLS to local files verify the filetypes are accurate (only want images) verify the file contents using ResNet50 (only want images containing a specific thing..) generate additional classes/tags for future training cut dataset into training and testing ... profit
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