The data was collected from 25cm resolution imagery across urban, rural and agricultural landscapes. There are a total of 10 000 images split into train and test.
The objective of this competition is to identify whether an image contains a road segment or not. Dry river beds, railway tracks and power lines could look like roads. It is important to classify these as “not roads”.
Files available for download:
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Images.zip - contain the images.
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Train.csv - contains the image IDs that are in the train set and the labels. You will use this dataset to select the images from Train_Images.zip to train your model on.
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Test.csv- contains image IDs for the test set. You will use this dataset to select the images from Images.zip to apply your model to.
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SampleSubmission.csv - shows the submission format for this competition, with the ‘Image_ID’ column mirroring that of Test.csv. The order of the rows does not matter, but the names of the ‘Image_ID’must be correct.