How to implement lenso.ai into your business strategy?

Before considering whether to implement the AI image search tool or not, it is crucial to understand how it works.

AI image search tool - basic information

Images are represented as numerical data, often in the form of high-dimensional vectors, using techniques such as convolutional neural networks (CNNs). These representations capture various visual features, such as shapes, colors, textures, and patterns.

As soon as you drop an image in a chosen AI image search tool, the whole process begins.

Firstly, AI algorithms extract features from images by analyzing their pixel values and patterns. CNNs, which are commonly used for image processing tasks, consist of multiple layers that extract hierarchical features from raw image data. Extracted features are indexed, enabling efficient retrieval of similar images during search queries.

During a search query, the AI system compares the features of the query image with those of images in the index to determine their similarity. Based on the similarity scores calculated, the AI system ranks the images in the index and retrieves the top-ranked images that are most similar to the query image. And in the end, those results are presented to the user.

Lenso.ai as an example of advanced AI image search tool

Lenso.ai is a perfect example of an AI image search tool, where the main point is dissecting an image into its fundamental components thanks to implemented advanced AI technology.

Using lenso.ai, several searching options are available, such as:

Duplicates - this feature enables users to find precise matches for images online, even when heavily filtered. Thanks to additional AI technologies such as face recognition, it can correlate features and image backgrounds to identify altered matches.
Object lookup - similar to Google, lenso.ai allows users to select a specific area of an image.Then it provides suggestions for objects within that selection, helping users identify what they're looking for. The model is trained to recognize similarities in colors, shapes, and other image features to deliver accurate object recognition.
Places - the ability to filter landmarks and landscapes specifically from the image. Thanks to this, even if you are looking for a landscape behind a person, the tool will focus on that, rather than one's face.
People - uses a highly effective algorithm that recognizes faces with impressive accuracy. It allows users to specifically search for faces within images. This tool differs from other image recognition software because it analyzes specific facial features to identify the same person even when their appearance varies across images.
Related search - allows users to look for exact images.
Similar search - enables you to look for similar pictures that are topic related.

How to use lenso.ai?

Based on lenso.ai program, you can simply visit the website and follow the next steps:

drop an image that you are looking for
select the specific area on the image that you are looking for
choose between the category to enrich your results
filter your results
decide which image best fits your needs and click the URL source link.

How to implement lenso.ai into your business strategy?

First of all, visit lenso.ai website and explore its possibilities. Moreover, you should check whether solutions that offer our platform somehow correlate with your professional needs.

It is worth considering:

features
accuracy
scalability
ease of integration
cost

After the decision was made, it is time for implementation (technical configuration) and onboarding coworkers that would be responsible for managing lenso.ai.

Important! Do not forget to check whether the provided changes are working correctly. And also audits should be conducted as well on a regular basis. This would help to figure out whether an AI image search tool has an impact on improving the overall business strategy.