xView is one of the largest publicly available datasets of overhead imagery. It contains images from complex scenes around the world, annotated using bounding boxes. It contains over 1M object instances from 60 different classes.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
Dataset Card for Dataset Name
Modified version of the xView Satellite Imagery dataset for the purposes of demonstrating image classification models.
Disclaimer
This dataset is a modified version of the xView dataset produced as a collaboration between the Defense Innovation Unit Experimental (DIUx) and the National Geospatial-Intelligence Agency (NGA). The dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC… See the full description on the dataset page: https://huggingface.co/datasets/CDAO/xview-subset-classification.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Xview is a dataset for object detection tasks - it contains Weapons annotations for 3,880 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Devided XView Dataset is a dataset for object detection tasks - it contains Structure annotations for 10,000 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
HichTala/xview dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
XView Master Thesis is a dataset for object detection tasks - it contains Airplanes Vehicles Ships annotations for 1,920 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This dataset was created by broswer_oriented
Unsustainable fishing practices worldwide pose a major threat to marine resources and ecosystems. Identifying vessels that do not show up in conventional monitoring systems---known as ``dark vessels''---is key to managing and securing the health of marine environments. With the rise of satellite-based synthetic aperture radar (SAR) imaging and modern machine learning (ML), it is now possible to automate detection of dark vessels day or night, under all-weather conditions. SAR images, however, require a domain-specific treatment and are not widely accessible to the ML community. Maritime objects (vessels and offshore infrastructure) are relatively small and sparse, challenging traditional computer vision approaches. We present the largest labeled dataset for training ML models to detect and characterize vessels and ocean structures in SAR imagery. xView3-SAR consists of nearly 1,000 analysis-ready SAR images from the Sentinel-1 mission that are, on average, 29,400-by-24,400 pixels each. The images are annotated using a combination of automated and manual analysis. Co-located bathymetry and wind state rasters accompany every SAR image. We also provide an overview of the xView3 Computer Vision Challenge, an international competition using xView3-SAR for ship detection and characterization at large scale. We release the data (https://iuu.xview.us/) and code (https://github.com/DIUx-xView) to support ongoing development and evaluation of ML approaches for this important application.
ShotaroFukunaga/xview-coco-crop-1024 dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
XView IPCV is a dataset for object detection tasks - it contains Cars annotations for 5,277 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Customs records of are available for XVIEW ASIA CO.,LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods
The xBD dataset contains over 45,000KM2 of polygon labeled pre and post disaster imagery. The dataset provides the post-disaster imagery with transposed polygons from pre over the buildings, with damage classification labels.
https://www.reportaziende.it/termini_e_condizioni_d_uso_del_serviziohttps://www.reportaziende.it/termini_e_condizioni_d_uso_del_servizio
Fatturato per gli ultimi anni, elenco utili/perdita, costo dipendenti, soci esponenti e contatti per X VIEW S.R.L. in ROMA (RM)
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xView is one of the largest publicly available datasets of overhead imagery. It contains images from complex scenes around the world, annotated using bounding boxes. It contains over 1M object instances from 60 different classes.