In our world, text is slowly starting to become less and less important. Most of the content development process is moving towards visuals, and so are the search engines. To enable a search system that can interpret the visuals around a person and drive information from it. The problem statement for this AI-based software development case study was-
“To search similar images for a given image from a dataset.”
The system we developed to address this problem worked on the basis of two major components. These components leverage emerging technologies like deep learning techniques and utilize data storage methods that are known to function efficiently. Here’s a little bit of detail about these elements:
Now, let’s understand the technicalities of our system in a detailed solution description.
The first step in our solution is to convert the images into embeddings. Embeddings are dense vector representations of images that capture their essential features. For this, we use ResNet50, a powerful and widely-used deep learning model.
Once we have the embeddings, the next step is to store them in a vector database for efficient similarity search. We use Astra DB, a highly scalable and performant vector database.
To perform a visual search, we first convert the query image into embeddings using the same ResNet50 model as used in the preprocessing step.
With the query embeddings ready, we perform a cosine similarity search against the embeddings stored in the vector database.
Based on the similarity scores, we recommend the top matching images. These images are ranked by their cosine similarity to the query image, ensuring that the most similar images are presented first.
As one of the artificial intelligence development companies, our case study is aligned with the current trends of the market when it comes to information acquisition and interpretation. People have begun to prefer system that function visually, and this case study from TechEnhance caters to the same preference.
Our team of highly skilled professionals combines deep knowledge of Cloud, DevOps, Website Development & Custom Development (into ReactJS, NodeJS, Angular, Python, Php, MongoDB).