It is an open dataset for object detection in remote sensing images.

Related tags

Deep LearningRSOD-Dataset-
Overview

RSOD-Dataset

It is an open dataset for object detection in remote sensing images. The dataset includes aircraft, oiltank, playground and overpass.

The format of this dataset is PASCAL VOC.

The dataset includes 4 files, and each file is for one kind of object. Please download the dataset files from BaiduYun.

  1. aircraft dataset, 4993 aircrafts in 446 images.
  2. playground, 191 playgrounds in 189 images.
  3. overpass, 180 overpasses in 176 images.
  4. oiltank, 1586 oiltanks in 165 images.

Please cite our papers if the dataset is useful for you. Thank you!

  1. Y. Long, Y. Gong, Z. Xiao and Q. Liu, "Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks," in IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 5, pp. 2486-2498, May 2017. doi: 10.1109/TGRS.2016.2645610, link
  2. Z Xiao, Q Liu, G Tang, X Zhai, "Elliptic Fourier transformation-based histograms of oriented gradients for rotationally invariant object detection in remote-sensing images", International Journal of Remote Sensing, vol. 36, no. 2, 2015
Owner
remote sensing image analyzing group in Wuhan University
GitHub Repository
A rule-based log analyzer & filter

Flog 一个根据规则集来处理文本日志的工具。 前言 在日常开发过程中，由于缺乏必要的日志规范，导致很多人乱打一通，一个日志文件夹解压缩后往往有几十万行。 日志泛滥会导致信息密度骤减，给排查问题带来了不小的麻烦。 以前都是用grep之类的工具先挑选出有用的，再逐条进行排查，费时费力。在忍无可忍之后决

上山打老虎 9 Jun 23, 2022
diablo2 resurrected loot filter

Only For Chinese and Traditional Chinese The filter only for Chinese and Traditional Chinese, i didn't change it for other language.Maybe you could mo

elmagnifico 249 Dec 04, 2022
CSPML (crystal structure prediction with machine learning-based element substitution)

CSPML (crystal structure prediction with machine learning-based element substitution) CSPML is a unique methodology for the crystal structure predicti

8 Dec 20, 2022
This is a custom made virus code in python, using tkinter module.

skeleterrorBetaV0.1-Virus-code This is a custom made virus code in python, using tkinter module. This virus is not harmful to the computer, it only ma

AR 0 Nov 21, 2022
The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"

TriageSQL The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text

Yusen Zhang 22 Nov 09, 2022
Character-Input - Create a program that asks the user to enter their name and their age

Character-Input Create a program that asks the user to enter their name and thei

PyLaboratory 0 Feb 06, 2022
Codes for NAACL 2021 Paper "Unsupervised Multi-hop Question Answering by Question Generation"

Unsupervised-Multi-hop-QA This repository contains code and models for the paper: Unsupervised Multi-hop Question Answering by Question Generation (NA

Liangming Pan 70 Nov 27, 2022
StarGAN - Official PyTorch Implementation (CVPR 2018)

StarGAN - Official PyTorch Implementation ***** New: StarGAN v2 is available at https://github.com/clovaai/stargan-v2 ***** This repository provides t

Yunjey Choi 5.1k Jan 04, 2023
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.

ONNX-HybridNets-Multitask-Road-Detection Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONN

Ibai Gorordo 45 Jan 01, 2023
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

Parameterized Hypercomplex Graph Neural Networks (PHC-GNNs) PHC-GNNs (Le et al., 2021): https://arxiv.org/abs/2103.16584 PHM Linear Layer Illustration

Bayer AG 26 Aug 11, 2022
A tensorflow implementation of an HMM layer

tensorflow_hmm Tensorflow and numpy implementations of the HMM viterbi and forward/backward algorithms. See Keras example for an example of how to use

Zach Dwiel 283 Oct 19, 2022
Official Implementation for Fast Training of Neural Lumigraph Representations using Meta Learning.

Fast Training of Neural Lumigraph Representations using Meta Learning Project Page | Paper | Data Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzst

Alex 39 Oct 08, 2022
WSDM2022 Challenge - Large scale temporal graph link prediction

WSDM 2022 Large-scale Temporal Graph Link Prediction - Baseline and Initial Test Set WSDM Cup Website link Link to this challenge This branch offers A

Deep Graph Library 34 Dec 29, 2022
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

DGC-Net: Dense Geometric Correspondence Network This is a PyTorch implementation of our work "DGC-Net: Dense Geometric Correspondence Network" TL;DR A

191 Dec 16, 2022
Self-supervised learning on Graph Representation Learning (node-level task)

graph_SSL Self-supervised learning on Graph Representation Learning (node-level task) How to run the code To run GRACE, sh run_GRACE.sh To run GCA, sh

Namkyeong Lee 3 Dec 31, 2021
DivNoising is an unsupervised denoising method to generate diverse denoised samples for any noisy input image. This repository contains the code to reproduce the results reported in the paper https://openreview.net/pdf?id=agHLCOBM5jP

DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders Mangal Prakash1, Alexander Krull1,2, Florian Jug2 1Authors contribut

JugLab 33 Dec 30, 2022
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces (ICCV 2021)

3DIAS_Pytorch This repository contains the official code to reproduce the results from the paper: 3DIAS: 3D Shape Reconstruction with Implicit Algebra

Mohsen Yavartanoo 21 Dec 12, 2022
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization This is the PyTorch implemention of our paper FedBN: Federated Learning on

<a href=[email protected]"> 156 Dec 15, 2022
Official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal

SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal This is the official pytorch code for SSAT: A Symmetric Semantic-

ForeverPupil 57 Dec 13, 2022
CoRe: Contrastive Recurrent State-Space Models

CoRe: Contrastive Recurrent State-Space Models This code implements the CoRe model and reproduces experimental results found in Robust Robotic Control

Apple 21 Aug 11, 2022