Thursday Thoughts: AI Emotion Detectionm Ethics, and SLAs
My thoughts on Microsoft retiring some features of Azure Face. It may be the ethical thing to do, but what are the collateral damages? Could there be a more nuanced approach?
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Exploring the LAION-5B: a 5 billion image-text-pairs dataset
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Frank
- May 2, 2022
- AI
- artificial intelligence
- Arxiv
- dall-e
- Deep Learning
- eleuther
- eleuther ai
- explained
- huggingface
- laion
- laion 400m
- laion 5b
- laion ai
- Machine Learning
- mini dall-e
- Neural Networks
- open clip
- open source clip
- open source dalle
- open source dataset
- open source machine learning
- openai clip
- openai clip dataset
- openai dalle
- Paper
- text image dataset
LAION-5B is an open, free dataset consisting of over 5 billion image-text-pairs. Today’s video is an interview with three of its creators. We dive into the mechanics and challenges of operating at such large scale, how to keep cost low, what new possibilities are enabled with open datasets like this, and how to best handle […]
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Computer Vision – Deep Learning Dictionary
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Frank
- March 9, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
What is computer vision? What terms and technologies are involved? Fortunately, this Deep Lizard video covers the basics.
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YOLOX + DEEPSORT | Multi-Object Detection with Dynamic Thickness and Corners B-Boxes
Computer vision and object detection is getting easier and easier.
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YOLOR + Vehicle Detection and Hiding Them
With YOLOR you can create almost anything and your imagination is the limit.
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OpenCV Python Tutorial #3 | Reading an Image
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Frank
- February 14, 2022
- artificial intelligence
- Computer Vision
- computer vision algorithms
- computer vision tutorial
- computer vision tutorials
- image processing
- OpenCV
- opencv python
- opencv python tutorial
- opencv tutorial
- opencv tutorials
- python course
- python for beginners
- python tutorial for beginners
- TensorFlow
In lesson 3 of the OpenCV Course you will learn how to Read in a simple Image which we will then use for processing using the OpenCV Library.
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Street Signs and Object Detection
I had a discussion recently about the state of the art in computer vision and whether or not AI could read street signs in real time. A project implemented by Karol Majek that can detect multiple objects in the street – light post, manholes🕳️, street signs and lights🚦 and more. Special Thanks to Karol Majek […]
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OpenCV Python Tutorial #1 | Introduction
In this tutorial you will learn what is OpenCV and its myriad of applications.
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Tensorflow Object Detection in 5 Hours with Python
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Frank
- January 26, 2022
- Object Detection
- object detection python
- object detection raspberry pi
- object detection tensorflow
- object detection tensorflow 2.0
- object detection tutorial
- object detection using tensorflow
- tensorflow object detection
- tensorflow object detection api
- tensorflow object detection api google colab
- tensorflow object detection raspberry pi
- tensorflow object detection tutorial
- tensorflow object detection tutorial for beginners
- tensorflow object detection with python
Want to get up to speed on AI powered Object Detection but not sure where to start? Want to start building your own deep learning Object Detection models? This is the course you need! In this course, you’ll learn everything you need to know to go from beginner to practitioner when it comes to deep […]
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Learn OpenCV in 5 Hours with 6 Computer Vision Projects
If you ever wanted to get a job in Computer Vision and AI, then this a great Computer Vision Course for you. So start now for FREE and learn the fundamentals of OpenCV and apply your knowledge in your job or for your client.
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