Land-Use Scene Classification

Land-Use Scene Classification

Datasets

Land-Use Scene Classification

File

Land-Use Scene Classification

Use Case

Computer Vision

Description

The main aim of this project is the masking of regions where land is being used in satellite images obtained through Landsat which have a low spatial resolution.

Land-Use Scene Classification

About Dataset

Context

The main aim of this project is the masking of regions where land is being used in satellite images obtained through Landsat which have a low spatial resolution.

Content

This dataset contains satellite images of 21 classes such as buildings, baseball fields, freeways, etc. The original size of the images is 256×256 pixels. Originally there were 100 images per class. After augmenting each image 4 times the size of each class was brought up to 500 images. This allows for making a more robust model.

Acknowledgements

The above dataset was obtained from the UC Merced Dataset

Credits –

  • Dataset: Yi Yang and Shawn Newsam, “Bag-Of-Visual-Words and Spatial Extensions for Land-Use Classification,” ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), 2010.

Contact Us

Please enable JavaScript in your browser to complete this form.
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

Let's Discuss your Data collection Requirement With Us

To get a detailed estimation of requirements please reach us.

Scroll to Top

Please provide your details to download the Dataset.