 GeoSynth
 GeoSynth 
 Scene dataset
 A synthetic dataset designed to improve performance in indoor scene perception tasks by providing detailed labels and photorealistic images.
Photorealistic Synthetic Dataset for Indoor Scene Understanding
40 stars
 5 watching
 0 forks
 
Language: Python 
last commit: almost 2 years ago  Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | A large dataset of 3D object and room layout annotations on RGB videos, designed to test automatic scene understanding methods. | 106 | 
|  | A collection of geospatial data and supporting documentation for environmental sustainability and Earth science applications | 287 | 
|  | A system for generating scene graphs from video data using a graph property sensing network architecture | 64 | 
|  | Provides preprocessed data for geostatistical simulations in Julia. | 15 | 
|  | A dataset of 2D images and 3D data generated from the Grand Theft Auto game engine for object localization research. | 135 | 
|  | A large dataset of 3D indoor scenes captured with RGB-D data and processed for use in machine learning applications | 674 | 
|  | A specification and implementation framework for streaming massive heterogeneous 3D geospatial datasets | 2,164 | 
|  | An online textbook providing core geospatial functionality in Python, covering topics such as data handling, remote sensing, and machine learning. | 174 | 
|  | A collection of educational resources on spatial data analytics, geostatistics, and machine learning. | 375 | 
|  | A PyTorch implementation of a deep learning-based method for generating interactive scenes with specified object attributes and relations | 188 | 
|  | An extension to SQLAlchemy that provides support for geospatial data types and operations | 106 | 
|  | A suite of tools for working with large geo-spatial data in a distributed fashion | 1,437 | 
|  | A Python-based library for simplifying access to spatial data processing for geological modeling and subsurface data analysis. | 264 | 
|  | A Python package implementing an algorithm to compactly summarize large datasets by preserving geometric relationships between data points | 75 | 
|  | A package that generates various types of categorical data visualizations using ggplot2. | 168 |