Hi everyone, from now on, every day I will post about a feature that my project has. Today, letâs talk about the CLIP Zero-Shot Image Classification Model
Feature Spotlight: Zero Shot Image Classification
What is it? Zero Shot Image Classification is an advanced AI model that can categorize images without being trained on specific examples.
Why does it matter? Traditional image classifiers require large datasets to recognize objects. However, Zero Shot Learning (ZSL) allows the model to classify images in real-time by interpreting the relationship between the visual input and textual labels. This drastically reduces the need for continuous retraining and dataset preparation, which means faster and more flexible image classification.
How it works in my project: In both the website and extension, this model enhances user experience by identifying images instantly and accurately across various platforms and devices, even for categories it has never encountered. Itâs especially useful for:
- Quickly identifying images without needing extensive training data.
- Categorizing unseen objects based on textual labels.
- Reducing the reliance on huge datasets for image processing.
Website usage (sellers): While adding a new product, the model will run (it is being served as a FLASK application) after the product image is uploaded. It will fetch the best label fetched from the already-saved labels.
There are many instances where any of the saved labels would not be the best for the product, in that case, brands can delete the old label, and can add a new one
Extension usage (buyers): This feature is a game-changer for buyers. Imagine youâre looking to furnish your bedroom and come across an image that perfectly matches your vision. By simply uploading that picture to the extension, the ML model will return products that are exactly whatâs shown in the image.
For example, if you upload a room photo, the model might detect objects like a lamp, shelf, and table. Since these items are already offered by one or more brands, the extension will provide you with a curated selection of products tailored specifically to what you need.
Real-World Impact: Utilizing Zero Shot Image Classification significantly improves productivity and operational efficiency. It ensures a consistent system for classifying various products uploaded by brands, allowing users to benefit from object classification models that present relevant items together, creating a smoother browsing experience.
Key Benefits:
- No need for pre-labeled training data
- Real-time classification of unseen objects
- Flexible, scalable, and more efficient image categorization
I have provided the labels txt file, so that the already saved labels can be fetched, and the new one be added.
Stay tuned for more updates as I continue to dive deeper into the exciting features of the project in the coming days!