Road Segment Identification
Can you identify which images have a segment of a road in them or not?
Prize
Knowledge
Time
Active
Participants
33 active ยท 372 enrolled
Good for beginners
Classification
Transportation
About

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:

  • Images.zip - contain the images.
  • 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.
  • 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.
  • 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.
Files
Description
Files