Sentinel-1 SAR Oil spill image dataset for train, validate, and test deep learning models. Part III

This image dataset: "Sentinel-1 SAR Oil spill image dataset for train, validate, and test deep learning models. Part III", is the third part of the image dataset for train and validate deep learning models for oil spill detection and segmentation.

This part contains the test images.

The dataset comprises Sentinel-1 SAR images in Sigma0, in decibels (db), along with their ground truth. The images are 2048x2048x2, also the ground truth is 2048x2048; all of them are in TIFF format.

The files are organized in the following manner:

• Images: Sentinel-1 SAR images in Sigma0 in decibels.
  • Lookalike: There are 150 images corresponding to look-alike surfaces
  • No oil: There are 150 oil free images
  • Oil: There are 150 oil spill images
• Mask: Gorund truth masks images for each Sentinel-1 SAR images
  • Lookalike: There are 150 images corresponding to the ground truth for look-alike images
  • No oil: There are 150 images to corresponds oil free ground truth images
  • Oil: There are 150 images for the ground truth for oil spill images

Each corresponding ground truth has the same number as its respective image. For instance, the image of an oil spill has a corresponding number of 0001, as well as its ground truth.

The complete dataset consists of three parts:

Sentinel-1 SAR Oil spill image dataset for train, validate, and test deep learning models. Part I. (10.5281/zenodo.8346860)

Sentinel-1 SAR Oil spill image dataset for train, validate, and test deep learning models. Part II. (10.5281/zenodo.8253899)

Sentinel-1 SAR Oil spill image dataset for train, validate, and test deep learning models. Part III. (10.5281/zenodo.13761290)