Odemakinde Elisha is a leading Innovative AI Engineer and Research Scientist with professional experience in AI relating to vision analytics. He is a skilled technical Entrepreneur with proven experience in AI app conceptualization design, architectural flow, product development, testing and production level builds of AI systems on GPUs and TPUs. He is building Rectlabs Inc, an AI research and Innovation company based in Nigeria, Africa.
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Trackus-Coach 10x better, form ulating better winning strategies
In today’s episode of football, we will be talking about how Trackus, helps coaches coach 10 time...
One year of running a startup full-time — Rectlabs Inc.
Today makes it officially 1 year since I announced Rectlabs Inc as an AI startup emanating from N...
The Story behind Rectvision & SynX— Rectlabs Inc Flagship products, In my journey as a full- stack AI engineer.
Hi folks, It’s been a long while since I wrote like this, I am pretty much getting back to being ...
Multi-team object detection for football games on Raspberry Pi 3
Building 1 object detection model to detect 4 different football teams — Introduction Computer vis..
Four Important Computer Vision Annotation Tools you Need to Know in 2020
A breakdown of the four most-used annotation tools for object detection — Introduction Computer v...
Real-time Object Detection using SSD MobileNet V2 on Video Streams
An easy workflow for implementing pre-trained object detection architectures on video streams — I...
End-to-End Object Detection Using EfficientDet on Raspberry Pi 3 (Part 3)
Hi there, this is the 3rd part of a 3 part series, for better understanding kindly read my first ...
End-to-end Object Detection Using EfficientDet on Raspberry Pi 3 (Part 2)
Hi there! This is the 2nd part of a 3-part series on building and deploying a custom object detec...
End-to-end object detection using EfficientDet on Raspberry Pi 3 (P1)
Computer vision deals with giving computers or machines a visual understanding of the environment...
Utilization of Dask ML Framework for Fraud Detection —End-to-end Data analytics
Introduction Fraudulent activities have become a rampant activity that has aroused a lot of curio...
Regularization techniques for im age processing using TensorFlow
In machine learning, our ultimate concern is how best we can model our data for optimal performan...
Filters as an image processing tool — part 1
Introduction Image processing is a fundamental field in the aspect of computer visioning and its ...
Overcoming overfitting in image cl assification using data augmentation
Imagine you have trained an image classification model whose performance seems a bit poor—did you...
Augmented Learning- The AI we desire.
Its so fundamental today that so many of us think of the fact that there is so much hype in this ...
Transfer Functions for Machine Learning, Simplified
Introduction to Transfer Functions This write up is an excerpt from my recent research on transf...
Low level TensorFlow for classifi cation problems (Titanic).
Hello everyone, I wanna believe you have been finding the series on TensorFlow useful. Check out...
Low level TensorFlow for regression problems (house pricing).
Hello everyone, I wanna believe you have been finding my articles useful for your programming ex...i
Optimizer, losses and activation functions in fully connected ne ural networks.
HEvery neural network built today works on algorithms that are mathematically proven to be the b...
Fundamentals of TensorFlow (Low Level)
This series of tutorial makes you understand the fundamental applications of TensorFlow, how you ...
Definition of machine intellige nce in simple terms with respect to nature
There has been so many discussions regarding the conceptual knowledge of what Artificial intellig...
Baseline Titanic challenge Solu tion (from decision to prediction)
Data Description/ Overview The titanic challenge competition is a simple use of machine learning...
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