Computer Vision

YOLO object detection algorithm

YOLO (You only look once) is the state-of-the-art, real-time system built on deep learning for solving object detection problems. YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A …

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Multi-Class Image Classification Flask App | Complete Project

As we know artificial intelligence is transforming many fields. Deep learning is one of the starts of the art model from a few decades. Convolutional neural network si one of the well know deep learning model. most of the time we train the model but we all think about that how we test the model …

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Computer Vision in Healthcare and Medicine

What Is Computer Vision? Computer vision is a technology based on image processing and synthesis. It usually involves machine learning/deep learning and allows AI to simulate human vision. This technology aims to save time by automating manual image analysis and achieving a higher level of accuracy. For this purpose, an algorithm is fed with avast …

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Self-Supervised Learning?

Self-Supervised Learning (Self-Supervised Learning) is a new paradigm between unsupervised and supervised learning, which aims to reduce the challenging demand for large amounts of annotated data. It provides some kind of supervision signals for feature learning by defining annotation-free pretext tasks. The term self-supervised learning (SSL) has been used (sometimes differently) in different contexts and fields, such …

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