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Dec 12, 2023
A digital twin of terrain – 3D model from satellite images

Hypothesis Any new project begins with an idea, undergoes development through information gathering and testing. The idea that initiated our...

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May 21, 2021
Face Recognition For Document Identification

Subject: Face recognitionData Science Areas: Computer Vision, Object Detection, Face Detection, Face RecognitionTools: Python, Dlib The Challenge Our clients approached...

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Jul 28, 2020
Computer Vision Selective Object Recognition

MindCraft AI Research Lab is on a roll! MindCraft АI Research Lab This time our task was quite well-known –...

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May 21, 2020
Time Series Analysis and Sales Forecasting for Automotive

Introduction to Sales forecasting Engine Time-series Sales forecasting is one of the most important topics in every business, helping to...

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Apr 29, 2020
Machine Learning Automation & AI Model for the Farm Industry

Motivation: How Farm Automation Can Help Grow the Business More and more industries are undergoing digital transformation and seeing substantial...

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Mar 4, 2020
Collecting POI from Cameras Using AI

Motivation why we choose points of interest (POI) Maps Services, like those in Google and Bing, usually provide us with...

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Sep 14, 2019
Classifying SpaCy’s ORG Named Entities with Statistical Text Analysis and Machine Learning

Introduction challenge of Classifying SpaCy’s ORG Named Entities with Statistical Text Analysis Recently, we were tagging a lot of texts...

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Jun 14, 2019
Point Cloud Data: Simple Approach

Introduction to Point Cloud Data  In recent years, there was great progress in the development of LIDAR detectors that resulted...

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Nov 12, 2018
Active Learning on MNIST – Saving on Labeling

Active Learning is a semi-supervised technique that allows labeling less data by selecting the most important samples from the learning process (loss) standpoint. It can have a huge impact on the project cost in the case when the amount of data is large and the labeling rate is high. For example, object detection and NLP-NER problems.The article is based on the following code: Active Learning on MNIST (more…)

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Apr 20, 2018
AI Document Recognition Software for FinTech

Subject: Automated Document Classification, Document Capturing, Data Extraction, AI Document RecognitionBusiness Areas: Banking, FinTech, RetailData Science Areas: Computer Vision, Machine...

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