Machine Learning (ML) 30+ Computer Vision Projects In this article, we will explore over 30 Computer Vision (CV) projects that will help boost your portfolio. We will discuss in brief each project along with the models used, datasets used, project domain, codebase and research paper.
Machine Learning (ML) Differentiating fake faces using simple ML and computer vision We have explored a technique to Differentiate fake faces using simple Machine Learning (ML) and computer vision. We have used Large-scale CelebFaces Attributes dataset.
Machine Learning (ML) You only look once (YOLO) algorithm You only look once (YOLO) is a state-of-the-art, real-time object detection system. It is a fully convolutional network. On a Pascal Titan X, it processes images at 30 FPS and has a mAP of 57.9% on COCO. It has 75 convolutional layers with skip connections and upsampling layers and no pooling.
Machine Learning (ML) Single Shot Detection (SSD) Algorithm Single Shot MultiBox Detector (SSD) is an object detection algorithm that is a modification of the VGG16 architecture. It reached new records in terms of performance and precision for object detection tasks, scoring over 74% mAP at 59 frames per second on standard datasets such as PascalVOC and COCO
Machine Learning (ML) Overview of Object Detection in Computer Vision Object detection models are used to identify multiple relevant objects in a single image.The second significant advantage of object detection models versus image classification ones is that location of the objects is provided. Popular Object Detection Models are YOLO and SSD.