Primary competition visual

Road Segment Identification Hackathon by #ZindiWeekendz

Helping South Africa
$300 USD
Completed (over 4 years ago)
Classification
Computer Vision
137 joined
70 active
Starti
Sep 03, 21
Closei
Sep 05, 21
Reveali
Sep 05, 21
About

The data was collected from 25cm resolution imagery across urban, rural and agricultural landscapes. There are a total of 1200 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