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# Data Overview
We have been given a zip folder of size 2GB which contains the following:
* train_images —a folder containing 12,568 training images (.jpg files)
* test_images — a folder containing 5506 test images (.jpg files). We need to detect and localize defects in these images
* train.csv — training annotations which provide segments for defects belonging to ClassId = [1, 2, 3, 4]
sample_submission.csv— a sample submission file in the correct format, with each ImageId repeated 4 times, one for each of the 4 defect classes.

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