There are 8 repositories under scene-classification topic.
Awesome Remote Sensing Toolkit based on PaddlePaddle.
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.
微调 Inception-ResNet-V2, 解决 AI Challenger 2017 场景分类问题。
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.
Solution of Intel scene classification problem | 95.4 % Accuracy | 5th rank
Scene classification baseline. Test Acc:90.14%
🧠 The core system of photos.network an open-source project for a self-hosted photo management application
Official source code of the paper: Perturbation Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification
Spatial Pyramid Matching for Scene Classification
🖼️ Scene classification system created in Java with OpenIMAJ
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.
Scene Classification Dataset
Repo for 6.869 MiniPlaces challenge
Scene classificator using ML and DL techniques
Modelos de clasificación de imágenes utilizando técnicas de aprendizaje profundo
Classify scenes from images
Scene Classification using pytorch : Dataset created using frames from youtube videos
Course project for 6.869: automatic summarization for neural net interpretability
🌎 Web Frontend for the open source project http://photos.network
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.
Scene Classification with Convolutional Neural Networks
Implementing FCN8 and FCN32 semantic segmentation models to classify pixels in road scenes.
Scene Classification
YOLO5s-Hydra: object detection + scene classification (Multitasks-Hydra) 🚀
Given an image the program determines where the image is taken