Mapillary: semseg


Click on the below button to generate a random picture from Mapillary dataset, and to display the corresponding label predictions.

Training procedure

A U-net model has been trained during 20 epochs with a set of 18000 training images, with a validation procedure involving 2000 images at the end of each training epoch.

Dataset description

The original Mapillary dataset contains 65 labels. For a sake of clarity, a lighter classification with only 13 labels has been built up: