I am searching an open data set and/or a model "ready" (or close to be ready) to segment the sky out of outdoor images, e.g.:


Pascal Debrunner Oeschinen Lake, Kandersteg, Switzerland

Source; unsplash, Pascal Debrunner, Oeschinen Lake, Kandersteg, Switzerland

Desired output:

Desired output


Do you know some data sets or models on that topic?
Or better, meta-surveys on that question?

Info; the deep-learning backend will normally be tensorflow/keras based.

  • I wonder the Title of the question and questions inside the body seem to be different..!! Jul 6 '20 at 9:09
  • Indeed, but instead of a suite of Answers on specific data sets (which would be fine), if someone passing here knows a meta survey on that topic, that would be even better.
    – s.k
    Jul 8 '20 at 9:51

Sky Dataset

A Dataset for Sky Segmentation

The Sky dataset contains a collection of 60 images with ground truth for sky segmentation. It was based on the Caltech Airplanes Side dataset by R. Fergus 15/02/03. Those images from the dataset which contained sky regions were selected and ground truths were created for them. The original dataset image names were kept unchanged.

enter image description here

The dataset can be downloaded here.

A large dataset of webcam images annotated with sky regions.

Download Here

Useful Resource

  • 60K images you mean?
    – s.k
    Jul 8 '20 at 9:54
  • No, it's just 60 images Jul 8 '20 at 10:07

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