Scene Classification Dataset
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Updated
Aug 8, 2024
Scene Classification Dataset
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
🧠 The core system of photos.network an open-source project for a self-hosted photo management application
Awesome Remote Sensing Toolkit based on PaddlePaddle.
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
This repository houses a comprehensive deep learning-based system for the scene classification of very high-resolution satellite imagery, focusing on post-earthquake damage assessment. The primary case study involves the devastating earthquakes that occurred in Kahramanmaraş province, Türkiye, in 2023.
🌎 Web Frontend for the open source project http://photos.network
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
This repository contains all necessary meta information, results and source files to reproduce the results in the publication Eric Müller-Budack, Kader Pustu-Iren, Ralph Ewerth: "Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification", In: European Conference on Computer Vision (ECCV), Munich, 2018.
YOLO5s-Hydra: object detection + scene classification (Multitasks-Hydra) 🚀
[IEEE TGRS 2022] Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Modelos de clasificación de imágenes utilizando técnicas de aprendizaje profundo
Official source code of the paper: Perturbation Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification
Terrarium is a Python Package for geospatial manipulation and raster/vector generation for the GeoSentry 🌍 Platform powered by Google Earth Engine and Google Maps Platform.
SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.
Produces quicklooks SCL bands in Sentinel-2 L2A SAFE files. Pass the directory where SAFE files are as sys.argv[1]. Writes results to same directory. Produces grayscale image for SCL and false color image for snow(red)-nosnow(green). Uses the best resolution available inside the file.
Implementing FCN8 and FCN32 semantic segmentation models to classify pixels in road scenes.
Scene Classification
Classify scenes from images
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