Building Alternative Data Set

Satellite imagery analytics

Imagery

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satellite imagery geoAI

Training Data

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computer vision labeling

Computer Vision

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Data fusion for alternative data set

Data Fusion


Interested in custom datasets for your market intelligence?

We use a combination of Computer Vision and human-led verification in building data sets to assure the quality and rich analytics from satellite imagery.   

In a number of cycles, and with preexisting Computer Vision models data can be collected and verified using both Satellite Imagery products and Web Map Tile Services.

Commonly Asked Questions:

How much data is required for AI training set?

We start from 1000 images per class, but we work closely with clients’ Machine Learning Engineers teams through the process of training, validation and testing to achieve high accuracy ML models

How long does it take to annotate AI training set?

Typically we can return the annotation within 2-3 days from submission, and set up
the workflow that fit your active learning process

What is the process of data sets development?

We customize the process individually, but typically with data fusion of web sources, imagery and maps.

How to ensure accuracy of deep learning solution for data set?

We develop computer vision model through an iterative process and large validated data set using supervised learning. But it is never an algorithm, it is always a verified data.