Awesome

DSCR

A public Dataset for Ship Classification in Remote sensing images.

Dataset

Our Dataset and Benchmark algorithms are downloadable at https://pan.baidu.com/s/1-L5UB3a6dMDEhr8_8jOfqw

Features

We collect 1,951 remote sensing images from DOTA, HRSC2016, NWPU VHR-10 and Go ogle Earth, containing warships and civilian ships of various scales. For ob ject classification, we cut out ships of different categories from the collected images. The whole dataset contains ab out 20,675 instances which are divided into seven categories, i.e. aircraft carrier, destroyer, assault ship, combat ship, cruiser, other military ship and civilian ship. Each image contains ships of the same category, which is labeled by the category name.

Benchmark

Please see the benchmark algorithms.

Acknowledgment

This Benchmark algorithms is created based on the reproduced classification with pytorch related code. Thanks to the lib pytorch-classification