Publication

Cloud-based automatic building and road extraction from large scale open geospatial datasets

By Yunzhi Shi, Tianyu Zhang, Daniel Hogan, Jake Shermeyer, Adam Van Etten, Xin Chen
2021
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Abstract
We author Jupyter notebooks to develop deep learning models on Amazon SageMaker instance. These models automatically extract building footprints and road networks from open geospatial datasets. The notebooks reproduce winning algorithms from the SpaceNet challenges. In addition to the SpaceNet satellite images, we introduce USGS 3D Elevation Program (3DEP) light detection and ranging (LiDAR) data to the workflow. We demonstrate using satellite images, LiDAR data, or combination of both to train and test deep learning models for building and road extraction. Both datasets are hosted on Amazon Web Services (AWS). This tutorial will share the notebooks and provide hands-on and step-by-step instructions on running machine learning services to extract features from large scale geospatial data on AWS. At the end of the tutorial, audiences can reproduce the building and road extraction tasks, apply the models to other area of interests where satellite or LiDAR data are available, and innovate with new ideas to improve the performances. The audiences can also appreciate the benefits of cloud computing and storage first-hand.
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Applied Scientist for CV
DE, BE, Berlin
Do you get excited about working on scientific problems that will have a large, significant and lasting impact for Amazon customers? Are you interested in Computer Vision and Machine Learning? Are you thrilled about working in a startup-like environment? Search no more! We have an opening for an Applied Scientist in Berlin.As an Applied Scientist, you will be driving prototypes, projects and solutions in the fields of computer vision, machine learning and image optimisation. Our work sits right at the intersection of research and engineering and we are delivering products with real world impact for Amazon Retail Experiences.Research areas our team is excited about include but are not limited to:· Image quality and image compression· Visual representation learning· Zero-shot learningMajor Responsibilities· Research, design, implement and evaluate novel computer vision algorithms· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields· Collaborate closely with other scientists and engineers to drive systems from prototyping to production level· Collaborate with teams spread all around the world· Engage with the scientific community (within Amazon and beyond)· Think outside the box and identify novel opportunities for a better customer experienceYour work will impact the shopping experience for millions of Amazon customers every day. Your ideas allow a fast path to production at scale and help us reshape the way we think about images at Amazon.
Senior Applied Scientist, Alexa AI
US, CA, Manhattan Beach
The Alexa Artificial Intelligence (AI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.Job responsibilitiesAs a Senior Applied Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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