Datalake offers a Visual Search feature, the main purpose is to allow users to select one image and search among the whole
Datalake for the ones that are the most similar.
This is equivalent to a clustering method.
The Visual Search feature must be included in your Picsellia contract to be used
To propose such a feature, all the
Data from the
Datalake are indexed by Picsellia when uploaded.
Basically, thanks to the img2vec lib, from each image, Picsellia extracts an embedding vector. Then, when selecting an image and searching from the most similar ones among the
Datalake, Picsellia uses Qdrant Vector Search Engine to find the closest vectors and display the most similar images.
For each image from the
Datalake selected for Visual Search we compute a similarity score with this particular image for all other images of the
To find the X more similar image from your
Datalake for a selected one, you just need to select it directly among your
Datalake, click on Find Similar, type the number of most similar images to search for, and click on Search.
Visual Search feature is accessible only if one image is selected
Once, more similar images are found by Picsellia, they will be displayed in the
Datalake overview as shown below:
Updated 3 months ago