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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.

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Ukrainian Conflict Drone FMV

Pre-labeled dataset labeled across aerial object detection, vehicle classification, and ground activity

Ukrainian Conflict Drone FMV

Pre-labeled dataset labeled across aerial object detection, vehicle classification, and ground activity

  • 500,000 hours of video

  • EO, IR, and multi-band IR

  • Bounding box

  • Specific ontologies available

Chinese SAM Sites

Pre-labeled dataset consisting of 558 annotated images and 23,000 objects.

Chinese SAM Sites

Pre-labeled dataset consisting of 558 annotated images and 23,000 objects.

  • 558 images

  • 23,000 objects

  • Locations: China covering 705 km2

  • EO satellite imagery

  • 0.3m, 0.4m, and 0.5m resolution

  • Nested ontology

  • Bounding box and polygons

Chinese Naval Order of Battle

Pre-labeled dataset consisting of 374 annotated images and 7,304 objects.

Chinese Naval Order of Battle

Pre-labeled dataset consisting of 374 annotated images and 7,304 objects.

  • 374 images

  • 7,304 objects

  • Locations: China covering 1,872 km2

  • EO satellite imagery

  • 0.3m, 0.4m, and 0.5m resolution

  • Nested ontology

  • Bounding box

Russian Naval Order of Battle

Pre-labeled dataset consisting of 348 annotated images and 9,650 objects.

Russian Naval Order of Battle

Pre-labeled dataset consisting of 348 annotated images and 9,650 objects.

  • 348 images

  • 9,650 objects

  • Locations: Russia covering 798 km2

  • EO satellite imagery

  • 0.3m, 0.4m, and 0.5m resolution

  • Nested ontology

  • Bounding box

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

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