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”.
How to use Colab on Zindi
How to mount a drive on Colab
Files
Description
Files
This file contains all the images for this challenge.
Train contains the target. This is the dataset that you will use to train your model.
This notebook will help you make your first submission to the leaderboard.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
This shows the submission format for this competition, with the ‘ID’ column mirroring that of Test.csv and the ‘target’ column containing your predictions. The order of the rows does not matter, but the names of the ID must be correct.