This app classifies images into predefined categories by training a Convolutional Neural Networks (CNNs) model. It provides real-time predictions with a user-friendly interface for uploading and classifying images. It is hosted on Azure. Technologies used: Python, TensorFlow, Keras, Flask, Azure
Transforming images into code at a click. Upload a photo or screenshot and copy the code to your script in seconds!
Python-based web application for applying various image filters, removing noise, and adjusting image properties. Built with Flask and OpenCV. Features real-time previews and easy image uploads.
The project is based on the use of classical image processing methods to solve the problem of creating a clean plate. On the basis of a set of photos taken on an identical background, objects that move are removed in such a way as to obtain a photo containing only the background
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