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About eView Pre-Labeled Datasets
Designed to support the needs of the US defense and Intelligence Community and only to authorized end users, our eView™ Pre-Labeled Datasets are a turn-key AI data annotation solution that provides high-quality AI model training inputs.
With eView Prelabeled Datasets, US defense and IC customers can dramatically accelerate the deployment of mission critical AI applications. Thanks to a continually expanding catalog of pre-labeled geospatial data, eView streamlines the AI model training process, reduces AI model bias and errors, and helps ensure AI operational success.
Examples
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China and Russia Airbase Infrastructure
Pre-labeled dataset consisting of 492 annotated images and 20,604 annotated objects.
China and Russia Airbase Infrastructure
Pre-labeled dataset consisting of 492 annotated images and 20,604 annotated objects.
492 annotated images
20,604 annotated objects
EO satellite imagery
.5m resolution
25 Km2 per image
Flat ontology
Bounding Box
Chinese Aircraft Order of Battle
Pre-labeled dataset consisting of 211 annotated images and 4,331 annotated objects.
Chinese Aircraft Order of Battle
Pre-labeled dataset consisting of 211 annotated images and 4,331 annotated objects.
211 annotated images
4,331 annotated objects
Locations: Burma, China, North Korea, Pakistan
EO satellite imagery
.5m resolution
25 Km2 per image
Nested Ontology
Bounding Box
Russian Aircraft Order of Battle
Pre-labeled dataset consisting of 281 annotated images and 6,915 annotated objects.
Russian Aircraft Order of Battle
Pre-labeled dataset consisting of 281 annotated images and 6,915 annotated objects.
281 annotated images
6,915 annotated objects
Locations: Algeria, Belarus, Bulgaria, Georgia, Kazakhstan, Libya, Russia, Syria, Turkmenistan, Ukraine, Uzbekistan
EO satellite imagery
.5m resolution
25 Km2 per image
Nested Ontology
Bounding Box
Russian SAM Sites
Pre-labeled dataset consisting of 535 annotated images and 24,906 annotated objects.
Russian SAM Sites
Pre-labeled dataset consisting of 535 annotated images and 24,906 annotated objects.
535 annotated images
24,906 annotated objects
EO satellite imagery
.5m resolution
25 Km2 per image
Flat Ontology
Bounding box and Polygon
