The ImageSnippets System

Our system keeps image descriptions attached using standard metadata. 

The system keeps important data formats like schema.org, JSON-LD, and RDFa with your images. 

The text explains how keywords describe images, using terms like "depicts" or "looks like," and provides a guide with examples for better understanding. 

LIO is a system that connects keywords to images using a special set of properties. 

This dataset includes descriptions of various photos, using specific terms from the Lightweight Image Ontology. 

The ImageSnippets dataset is available online and can be found through Google Dataset search. They emphasize that they are not a typical database and do not seek to own or profit from your images or data. 

This is a simple guide to understanding the LIO ontology. 

Humans and machines both have strengths and weaknesses, but they can work together to improve accuracy. Our system integrates machine learning into real-world settings to identify and fix blindspots, allowing humans to correct errors using object detection. Human oversight remains central to our solutions. 

Using advanced techniques, we turn data into useful graphs for tasks like machine learning and search. 

We create custom vocabularies and connect to sources like Wikidata. 

We're also looking for partnerships in data sharing. 

SPARQL query results can change over time. 

The list of texts is regularly updated with new or changed descriptions. 

Anything you upload to ImageSnippets is public. They are working on a privacy feature, but for now, don't upload anything you want to keep private. 

Respecting and observing user copyright intentions is important. The data can be explored and searched, but the images might have different copyright rules, which you can find in the data's rights and usage terms.