Oil Spill Classification

Oil Spill Classification

Datasets

Oil Spill Classification

File

Oil Spill Classification

Use Case

Oil and Gas

Description

The dataset was developed by starting with satellite images of the ocean, some of which contain an oil spill and some that do not.

About Dataset

 

Oil Spill Classification

The dataset was developed by starting with satellite images of the ocean, some of which contain an oil spill and some that do not.
Images were split into sections and processed using computer vision algorithms to provide a vector of features to describe the contents of the image section or patch.
The task is, given a vector that describes the contents of a patch of a satellite image, then predicts whether the patch contains an oil spill or not, e.g. from the illegal or accidental dumping of oil in the ocean.

There are two classes and the goal is to distinguish between spill and non-spill using the features for a given ocean patch.

Non-Spill: negative case, or majority class.
Oil Spill: positive case, or minority class.

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quality dataset

Quality Data Creation

Guaranteed TAT​

Guaranteed TAT

ISO 9001:2015, ISO/IEC 27001:2013 Certified​

ISO 9001:2015, ISO/IEC 27001:2013 Certified

HIPAA Compliance​

HIPAA Compliance

GDPR Compliance​

GDPR Compliance

Compliance and Security​

Compliance and Security

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