Tenyks

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. […]

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

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