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For the past two years, Airbus has entrusted us with the annotation of satellite images for key elements recognition.
Jeff Faudi
Innovation manager

Satellite image annotations for key items recognition

Airbus in a few words 

  • Airbus SE is Europe number one and the World number two in the aerospace and defence industry.
  • Founded in 1970, Airbus currently employs more than 130,000 people.
  • Airbus Defence and Space (ADS) is one of the three divisions of Airbus Group, specializing in military aircraft, drones, missiles, space launchers and artificial satellites. 
  • The OneAtlas platform, which provides quick and easy access to quality satellite imagery, layers and analysis for a wide range of use cases.

Isahit in a nutshell:

  • First ethical data labeling platform for AI and data processing in Europe
  • 2000 projects with over 1700 HITers
  • HITers established in over 39 countries
  • 300+ satisfied customers

Airbus defense and space mission: 

Democratize access to satellite imagery to help users solve the challenges of our world, such as:

  • Economic
  • Environmental
  • Defense and security
  • Food supply

Today, artificial intelligence can automatically detect objects and changes between satellite images.

OneAtlas Data, the platform used by Airbus Defense and Space

One Atlas Data is a platform for quick and easy access to high-quality satellite imagery, layers and analysis for a wide range of use cases.

OneAtlas Data provides access to a combination of high and very high optical resolution with SPOT and Pleiades. Both offer daily revisit capability, ensuring efficient monitoring.

Use case example: Satellite imagery dataset for aircraft detection

Image: 

This worldwide training dataset consists of more than 25.000 annotated aircrafts on 0.5m.

It includes:

  • Small aircrafts
  • leisure 
  • private jets 
  • regional commercial
  • Large commercial
  • Helicopters
  • Fighter jets
  • Bombers
  • Other military

Artificial Intelligence model trained on this will detect aircrafts on 0.5m resolution images with a performance of:

> 85% in detection rate 

> 90% in precision rate

Challenges encountered

- Experts are not available and data scientists should not annotate all data 

- Need for massive and consistent annotations in a short time

- Quality must be assured

To obtain massive and consistent annotations in a short time, Airbus chose crowdsourcing, which allows to outsource the workload to hundreds of remote contributors. 

The solution: outsourcing with impact thanks to isahit

In order to meet these challenges, isahit appeared to be the most appropriate solution as it offers : 

  • More than 1000 active contributors in 39 different countries, able to respond to annotation needs in a short time
  •  A very demanding quality review:

Isahit implements a very strict project monitoring, throughout its realization, trains these contributors and implements tests upstream to ensure that a constant quality is maintained.

  • Great agility and ability to adapt resources to changing needs

In addition, Airbus shares the same values as isahit and supports its mission: to make tech and AI a work and training opportunity for women around the world.

A DOUBLE VICTORY: TECH & SOCIAL

Two years into our collaboration, we are mutually excited to report the following: 

  • 500,000 annotations made by our contributors: Bounding boxe oriented / Bbox classic / Polygon
  • On the flow project
  • 55 HITers worked on the project (self confidence, money to finance their project, digital skills) 
  • 53h of training provided (specific labeling tools but also nlp projects, google sheet, google doc, linkedin)

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