Awesome Satellite Imagery Datasets List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datasets at the top of each category (Instance segmentation, object detection, semantic segmentation, scene classification, other). ...
Deep Learning Datasets awesome-remote-sensing-change-detection - List of datasets, codes, researchers and contests related to remote sensing change detection. awesome-satellite-imagery-datasets - List of satellite imagery datasets with annotations for computer vision and deep learning. Map Render Engine ...
DatasetsCommunity Datasetsawesome-gee-community-datasets LandsatLandsat 8 Surface Reflectance Landsat 8 TOA ReflectanceSentinelSentinel-1 SAR GRD Sentinel-2 MSINAIPNAIP: National Agriculture Imagery Program Land CoverNLCD: USGS National Land Cover Database Papers...
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery intro: Small Object Detection arxiv:https://arxiv.org/abs/1805.09512 github:https://github.com/avanetten/yolt SSD SSD: Single Shot MultiBox Detector intro: ECCV 2016 Oral arxiv:http://arxiv.org/abs/1512.02325 pape...
Why Have Scientific Datasets Been So Widely Adopted in Earth Observation and What Role Does Data Quality Play? GeoawesomeTeam 07.17.2024 AWESOME 4 #Business #Featured How 15 Centimeter Satellite Imagery is Changing the Mapping Game Aleks Buczkowski 12.2.2024 AWESOME 5 #Business #Contributing...
Satellite data is helping to save millions of lives each year, by providing development institutions with the tools they need to increase food security. However, there are significant areas for improvement. In an ideal world, the WFP and other organizations need access to datasets from private com...
pytorch vision: Datasets, Transforms and Models specific to Computer Vision. pt-styletransfer: Neural style transfer as a class in PyTorch. OpenFacePytorch: PyTorch module to use OpenFace's nn4.small2.v1.t7 model img_classification_pk_pytorch: Quickly comparing your image classification models wit...
The platform allows data providers to share massive datasets like terrain, photogrammetry, and point clouds in seconds with just a link, and turn them into realistic visualizations to glean insights from them. At the heart of Cesium’s platform are 3D tiling pipelines which transform 3D data ...
intro: a person detector on n fish-eye images of indoor scenes(NIPS 2018) arxiv:https://arxiv.org/abs/1805.08503 datasets:https://gitlab.com/omnidetector/omnidetectorYOLOv3YOLOv3: An Incremental Improvementarxiv:https://arxiv.org/abs/1804.02767 paper:https://pjreddie.com/media/files/papers...
A user requirements surveyon Big Earth Data aims to better understand the above questions. Users of large volumes of environmental data, e.g. satellite images or meteorological fields, are invited to participate to the survey. Users of geospatial data in the spotlight – Have your sa...