TL;DR A production-ready, reproducible pipeline for skin-disease image classification with a multilayer router: L1 (Normal vs Abnormal) → L2 (8 abnormal classes) → optional L3 (Subclass) under Eczema ...

In this project, we aimed to develop a model that can accurately classify brain scans as either having a tumor or not. To achieve this, we used a dataset consisting of images of brain scans with and ...

We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...

Abstract: Study on the identification and classification of fish is challenging and valuable because of its role in advancing the marine and agricultural fields. This research has benefits interms of ...

Abstract: Deep learning has revolutionized plant disease identification. The technology has significantly improved the accuracy of plant disease detection, allowing farmers and researchers to identify ...