By: Jacob Maslow
Reverse image search allows users to find information and sources related to a specific picture simply by searching by image. This technology is described in detail in this article. Lenso.ai is an innovative online platform for reverse image search, offering a fresh alternative to traditional search engines. Utilizing advanced AI technology, lenso.ai enables users to search for places, people, duplicates, related, or similar images with ease and accuracy. This platform revolutionizes the image search experience, making it faster, simpler, and more precise. Discover the potential of backwards image search with lenso.ai and enhance your image search capabilities!
Online Image Search with Just One Click
There are multiple websites you can visit if you are looking to search by image. Depending on the type of image you want to find you may want to visit several sites and choose the one you like best.
Lenso.ai
Lenso.ai is an example of a highly accurate reverse image search website. The added value of this site is the categorization and appropriate filtering of images. It is also easy to use and available in most popular languages, making it accessible to anyone around the world.
If you are in search of something specific, especially people, places, duplicates of images or similar/related pictures, you’ll certainly love lenso.ai’s simplicity and user-friendly design! Read on to learn more about how to use lenso.
Groundbreaking Technology at your Fingertips – How Does it Work?
How hard is it to find images similar (or identical) to the query image? For a human, the task seems trivial. It’s easy to spot the similarities in color or shape, detect similar patterns, or judge the mood of the image at hand. However, this seemingly effortless function requires extensive training, both in humans and in artificial intelligence.
Using keywords to find online resources is easy. The technology behind search engines matches words with identical phrases or synonyms on Web pages. But when it comes to searching for images, things get a lot more complicated. For this task, some advanced search engines use CBIR – Content-Based Image Retrieval. This technology focuses on the visual parts of images rather than the text – a task that is difficult to implement on a machine, as computers don’t have the ability to match images based on their experience.
The Innovation Behind CBIR
To find and match similar images, CBIR (Content-Based Image Retrieval) extracts certain features from the query image. These features include shapes, colors, and pixel arrangements. Once identified, these features are converted into a digital format (vectors) that computers can interpret and use for matching.
Deep Learning – What Is It?
If you are wondering how in the world a computer can recognize colors, shapes, and patterns, deep learning is your answer. Here’s how it works in a nutshell:
Deep learning uses a program inspired by the brain – a neural network. While this network is not exactly a network of neurons like a brain, it is designed to mimic brain functions.
Neural networks consist of layers. Each layer has its own purpose – to learn something about the image. Let’s say we want our network to recognize images of plants. Lower layers learn shapes or edges, while higher layers recognize more complicated structures – leaves, the structure of a plant, flowers and roots.
These layers need to be trained to learn as much as possible about the features they are supposed to recognize. This training is done by showing them images of plants and non-plants. Little by little, the final layers are able to recognize plants and non-plants based on the information given to them by the lower layers.
Here’s the key: the more layers there are (the deeper the network), the more complex things it can learn. That’s why it’s called deep learning!
Similarity Measures in Reverse Image Search
Let’s say our network can now identify plants, maybe even tell the species apart. But to match them with the pictures of other plants, it requires more than this simple knowledge.
Reverse image search engines use bots that crawl the web and index images online. This means that these scripts, called crawlers, copy the URL of the images they find and go from page to page looking for new images. The larger the index, the greater the chance of an accurate match – search engines can’t find images that haven’t been discovered online by their bots.
Once the index is built, images can be compared. This is where similarity measures come into play. Simply put, these measures count how similar your query image is to the images in the index.
Imagine you’re in a giant greenhouse filled with countless plants. You have a particular plant in mind, but its name escapes you. Just as each plant in the greenhouse has unique characteristics such as color, size, and leaf patterns, each image online has its own set of characteristics. A reverse image search engine acts like a super-powered botanist’s assistant.
There are several ways to compare plants (data). Some popular measures include:
- Color comparison: Like finding the perfect shade of green, data points with similar characteristics receive a higher score.
- Direction comparison: Imagine your plant has a stripe-like pattern. If you put your plant next to another one, with the same pattern – do those stripes point in the same direction? This is similar to the Cosine Similarity measure used in data science.
So when you upload your image, the search engine uses the similarity score to find plants (images) in its database with the most matching characteristics. A high score indicates that you may have found your perfect match – the exact same plant (image) you were looking for!
Lenso.ai – Revolutionizing Face Search Technology
We’ve already mentioned lenso.ai at the beginning of this article, but in this section we’ll explain why we believe lenso.ai is an extraordinarily useful and accurate tool. Let’s go through the advantages of lenso.
Categorization
Lenso.ai offers several categories for users to choose from to get the most accurate results. Here’s what you can find when you search for matches on Lenso:
- Places – search for similar landscapes, buildings, places find similar locations from picture,
- People* – search for similar faces using face recognition lookup; track your digital footprint using lenso’s face search,
- Duplicates – search for duplicates of the image you have uploaded, as well as edited, cropped or filtered versions of the image; look up the original version of altered or edited picture,
- Similar – search for images that are similar to the uploaded image, but not necessarily a duplicate; find images with similar layout or content; look for pictures and photos that look alike,
- Related – search for images that are somehow related to the uploaded image, but not necessarily visually similar; find photos that are correlated with the original you are looking for.
*Available in selected regions
With these categories it’s possible to find almost everything in lenso’s broad index.
Face Recognition*
Recognizing faces from images is not as easy as it seems. All faces look similar, but it’s the distinctive features of each person that make us very different from each other. What makes it possible to find faces on lenso.ai is its amazing AI model, which is specially trained to look for facial features.
*Available in selected regions
Constant Evolution
Lenso’s team is constantly working to make your experience enjoyable! Additional features such as alerts, saving search results to CSV files, and more will be added to the site in the near future! With the team working to ensure the smoothest experience, lenso.ai is constantly tested and updated. With these updates, lenso’s index grows as well, making the search even more accurate!
How to Try Out Lenso.ai?
In order to use lenso.ai, visit the main page and paste, upload or drop your image in the purple field. This action will start the search instantly, as simple as that!
This basic search will be enough to find what you are looking for in most cases, but you may want to go a step further, find more sources and so on. Here are additional options that may be helpful on lenso.ai:
- Categories – choose the category you are looking for – they are made specifically to help you filter out the things you are not interested in. Expand them to start a new, more precise search!
- Filtering – filter within categories! Simply click the funnel icon and choose the sorting type (newest, oldest or better and worse match). You can also take a risk and click “shuffle” to see randomized results.
- Search with text – add text tags to refine the lookup (for example – upload a white horse and add a “brown” tag to see brown horses)
- Search by domain – if you want to look on a specific website only, search with its URL.
- Image editing – using simple tools you can crop out part of the image, rotate it, flip it, zoom in and out – those are implemented to help you adjust the picture if needed.
Use Lenso.Ai on a Mobile Device
Lenso.ai also offers a mobile-friendly version of the website! It works similarly to the desktop version. Just update your image, choose the category, filter if necessary. All accessible from all major mobile browsers.
Try Out Lenso.Ai
Lenso.ai, an online platform for reverse image search, search by image and online picture exploration, is the newest, refreshing alternative to all the famous image search engines. Thanks to advanced AI technology implemented on lenso.ai, you can easily start searching for places, people, duplicates, related or similar images.
Discover how this AI-powered technology transforms the reverse image search, making it faster, easier, and more accurate. Upload your image and explore the potential of backwards image search with lenso.ai today and see how it improves your image search experience.
Published by: Martin De Juan
