Blog
Stay ahead in the world of AI
At Pento, we share perspectives, case studies, and insights on artificial intelligence and machine learning for enterprises.
Semantic Search: Revolutionizing Ecommerce Sales Conversion with Cost-Efficiency and Metadata-Free Advantages
Discover how Semantic Search is transforming ecommerce by offering contextual understanding, reduced deployment costs, and metadata-free advantages. Learn how this technology drives sales conversion, enhances user experience, and provides a competitive edge.
Computer Vision in e-commerce: 5 ways it is transforming online shopping
Improved product discoverability, inventory management, and visual try-on are just a few ways computer vision is changing the e-commerce game.
Object detection: An overview with code examples
Learn what object detection is and how it has evolved. Take a look at some of the most common and practical use cases. Code included.
Our top learnings from Computer Vision 2022
Discover the key computer vision innovations of 2022, from Latent Space Diffusion and Stable Diffusion to YOLOv7's object detection advances and cutting-edge deep metric learning techniques combining language guidance with vision models.
Welcome, Vectory: Handle embedding experiments faster and smarter
Vectory is a tool made for and by machine learning engineers who want a light and easy way to track and compare embeddings.
PyTorch Metric Learning: An opinionated review
Master PyTorch Metric Learning with this comprehensive guide. Compare Triplet Loss vs ArcFace on TinyImageNet, explore the library's powerful modules, and learn how to generate high-quality embeddings for your similarity-based applications.
Enhancing Image Quality with Visual AI: How does it work?
Super-resolution consists of using AI to automatically enhance image quality. Going from a low-resolution image to an upscaled, HD version.
Computer Vision in Manufacturing: The 4th Industrial Revolution
Computer Vision is revolutionizing Manufacturing. Learn how it is powering the next generation of manufacturers and establishing the 4IR.
Computer vision in retail: Top 7 applications that are transforming the industry
The future of retail is here with Computer Vision. Learn how retailers use it to improve shopping experiences, manage stock and more.
Pytorch metric learning, Part II: Analyzing embeddings with Vectory
Learn how to evaluate and compare embeddings from PyTorch Metric Learning models using Vectory's powerful visualization and analysis tools
Our top computer vision learnings from 2021
Explore the top computer vision breakthroughs of 2021, including Vision Transformers, CoAtNet, advanced metric learning with ProxyNCA++ and Intra-Batch methods, and innovative multilabel classification techniques like Asymmetric Loss.
Taking advantage of unlabeled data and image embeddings
Discover how image embeddings can unlock value from unlabeled data. Learn about state-of-the-art self-supervised methods like SimCLR, BYOL, and DINO, and explore practical applications in recommendation systems, image organization, and more.
Structuring your Python machine learning projects: An opinionated review
This article goes through a proven methodology used by top professionals in the industry to efficiently structure machine learning projects
Bootstrap your own Handler: How and why to create custom handlers for PyTorch's TorchServe
Learn how to develop advanced custom handlers for PyTorch's TorchServe. This guide walks you through creating tailored inference handlers, managing model artifacts with torch-model-archiver, and deploying GPU-enabled models efficiently.
Scaling Computer Vision models with Dataflow
Discover how to scale computer vision models with Google Cloud Dataflow and Apache Beam. This guide shows how to extract ResNet50 embeddings from millions of images using a serverless, fully-managed approach with autoscaling capabilities.
Terran's face recognition meets Streamlit Components
Learn how to build an interactive face-recognition timeline generator for YouTube videos using Terran's computer vision library and Streamlit Components. This tutorial covers face detection, tracking, and creating custom React-based visualizations.
Introducing Terran: A human perception library
Terran is a human perception library that provides computer vision techniques and algorithms in order to facilitate building systems that interact with people.