How to Identify anomaly images using convolutional autoencoders
This video is from DigitalSreeni. Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_for_microscopists
Read More
Building Intelligent Factories with Edge Automation
Lindi Sabloff of Guise.AI demonstrates how to use edge AI-enabled machine vision to do quality control to automate the manufacturing process, with support from Red Hat Device Edge.
Read More
Unlock the Potential of Object Detection with Red Hat OpenShift Data Science
Red Hat OpenShift Data Science gives data scientists and developers a powerful artificial intelligence/machine learning (AI/ML) platform for building intelligent applications. With OpenShift Data Science, data scientists and developers can rapidly develop, train, test, and iterate ML and deep learning (DL) models using their choice of certified tools in a fully supported environment—without waiting for […]
Read More
Computer Vision for Digital Scientists and Azure Video Indexer with Chat GPT Integration
First up, Alicia Moniz and Randy Price, PhD are here to demo Climate and Weather Event Monitoring with Azure Cognitive Services and in the second half of the hour, Inbal will be here to talk about Azure Video Indexer’s Power amplified with ChatGPT! Computer Vision Resources: Build a Computer Vision classifier https://www.customvision.ai/ Try out Cognitive […]
Read More
Google Transforms Raspberry Pi into a Supercomputer
Data Slayer talks about Google’s new hardware that boosts the power of the humble (and currently hard to find) Raspberry Pi.
Read More
Maryland School District to Use AI to Detect Guns
In a novel use of computer vision, Charles County Public Schools in Maryland is adding a computer vision system to their existing security camera system. Strangely absent from this news article is a discussion on ethics, civil liberties, or what happens when the AI makes a false positive.
Read More
Next-Generation Computer Vision Capabilities with Florence
Adina Trufinescu joins Seth today to introduce Introduce Azure Cognitive Service for Vision and the next-generation Computer Vision Capabilities with Florence and walk us through some of the new features! Resources: http://aka.ms/VisionStudio https://aka.ms/CognitiveService/Vision
Read More
How to Train U-NET in Google Colab: A Step-by-Step Guide
Are you looking to train U-NET for semantic segmentation, background removal, or salient feature highlighting in Google Colab? This step-by-step guide from Augmented Startups will walk you through the entire process, from setting up the environment to loading and training your own dataset
Read More
DeepFace: State-of-the-Art Face Attribute Analysis in Python
-
Frank
- February 10, 2023
- age prediction
- age prediction from facial images
- computer vision face detection
- data magic
- Data Science
- Deep Learning
- deepface
- deepface library in python
- deepface python
- Face Detection
- face detection with opencv
- FACE RECOGNITION
- face recognition python
- face verification
- facial emotion recognition
- Facial Recognition
- gender prediction
- image processing
- Machine Learning
- mediapipe
- OpenCV
- python computer vision
- rob mulla
Rob Mulla provides this tutorial where he goes over how to use DeepFace. Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python.
Read More
Identity Verification using Amazon Rekognition and Amazon Textract
This demo shows how an end-to-end identity verification solution can be developed using Amazon Rekognition and Amazon Textract. Source Code – https://bit.ly/3W04Xdg
Read More