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.
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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 …
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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 …
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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 …
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