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.:
Source; unsplash, Pascal Debrunner, Oeschinen Lake, Kandersteg, Switzerland
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.
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.
The dataset can be downloaded here.
A large dataset of webcam images annotated with sky regions.
Answered by Pluviophile on September 30, 2021
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