Tenyks is a University of Cambridge spin-out, backed by YCombinator, helping Machine Learning Teams build production-ready models 8x faster by detecting and removing hidden vulnerabilities, biases, and blindspots before something breaks, crashes, or burns.
Tenyks
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Edge AI and Vision Alliance™ Announces 2024 Edge AI and Vision Product of the Year™ and AI Innovation Award™ Winners
May 23, 2024
Awards Celebrate Innovation and Achievement in Computer Vision and Edge AI SANTA CLARA, CALIFORNIA, UNITED STATES OF AMERICA, May 23, 2024 /EINPresswire.com/ — The Edge AI and Vision Alliance today announced the 2024 winners of the Edge AI and Vision Product of the Year Awards and the AI Innovation Awards. The Edge AI and Vision […]
2024 Edge AI and Vision Product of the Year Award Winner Showcase: Tenyks (Edge AI Developer Tools)
Tenyks’ Data-Centric CoPilot for Vision is the 2024 Edge AI and Vision Product of the Year Award Winner in the Edge AI Developer Tools category. The Data-Centric CoPilot for Vision platform helps computer vision teams develop production-ready models 8x faster. The platform enables machine learning (ML) teams to mine edge cases, failure patterns and annotation […]
Unlocking the Potential of Unlabelled Data with Zero Shot Models and Vector Databases
January 5, 2024
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Search and retrieval of thousands or even millions of images is a challenging task, especially when the data lacks explicit labels. Traditional search techniques rely on keywords, tags, or other annotations to match queries with relevant items. […]
Multi-modal Image Search with Embeddings and Vector Databases
December 12, 2023
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Use embeddings with vector databases to perform multi-modal search on images. Embeddings are a powerful way to represent and capture the semantic meaning and relationships between data points in a vector space. While word embeddings in NLP […]
The Foundation Models Reshaping Computer Vision
November 16, 2023
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Learn about the Foundation Models — for object classification, object detection, and segmentation — that are redefining Computer Vision. Foundation models have come to computer vision! Initially limited to language tasks, foundation models can now serve as the backbone of computer […]
NVIDIA TAO Toolkit “Zero to Hero”: A Simple Guide for Model Comparison in Object Detection
November 10, 2023
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2 of our NVIDIA TAO Toolkit series, we describe & address the common challenges of model deployment, in particular edge deployment. We explore practical solutions to these challenges, especially on the issues surrounding model comparison. Here […]
NVIDIA TAO Toolkit “Zero to Hero”: Setup Tips and Tricks
October 24, 2023
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. A quick setup guide for an NVIDIA TAO Toolkit (v3 & v4) object detection pipeline for edge computing, including tips & tricks and common pitfalls. This article will help you setup an NVIDIA TAO Toolkit (v3 & v4) […]
Vector Databases: Unlock the Potential of Your Data
October 9, 2023
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In the field of artificial intelligence, vector databases are an emerging database technology that is transforming how we represent and analyze data by using vectors — multi-dimensional numerical arrays — to capture the semantic relationships between data […]
Multiclass Confusion Matrix for Object Detection
September 15, 2023
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. We introduce the Multiclass Confusion Matrix for Object Detection, a table that can help you perform failure analysis identifying otherwise unnoticeable errors, such as edge cases or non-representative issues in your data. In this article we introduce […]
Mean Average Precision (mAP): Common Definition, Myths and Misconceptions
August 14, 2023
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. We break down and demystify common object detection metrics, including mean average precision (mAP) and mean average recall (mAR). This is Part 1 of our Tenyks Series on Object Detection Metrics. This post provides insights into how […]
