This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
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Updated
Jun 12, 2024 - Jupyter Notebook
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
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"
Scene Classification Dataset
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.
🧠 The core system of photos.network an open-source project for a self-hosted photo management application
🌎 Web Frontend for the open source project http://photos.network
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
微调 Inception-ResNet-V2, 解决 AI Challenger 2017 场景分类问题。
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