In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. The project titled ‘Face Detection and Recognition System’, is to …

Nov 2, 2024 · In this study, we design and implement real-time object detection and recognition systems using the single-shoot detector (SSD) algorithm and deep learning techniques with …

Sep 4, 2024 · Blueprint to Success: An End-to-End Object Detection Project with Flowchart. 1. Data Ingestion. The first step in any machine learning project is gathering and preparing the …

In this project, we use a completely deep learning based approach to solve the problem of object detection in an end-to-end fashion. The network is trained on the most challenging publicly …

In this paper, we propose an improved moving object detection method to overcome the disadvantages of the RGB information-only-based method in detecting moving objects that are …

A flow chart of key steps to generate the detection model is shown in Fig. 1. Given a query image of an object class, the objective of this work is to detect instances of the same class in...

1147 open source Flow-chart images and annotations in multiple formats for training computer vision models. Flow chart detection (v2, 2023-06-05 10:00pm), created by Object Detection.

For the task of object detection in this project, I used a pretrained Yolov3 model trained on the COCO dataset. Convolutional neural networks (CNN) are used by the YOLO method to …

As a rule, the preparing system of visual observation in powerful scenes including the accompanying stages: objects discovery, comprehension and depiction of practices and …

Nov 2, 2022 · In this study, we design and implement real-time object detection and recognition systems using the single-shoot detector (SSD) algorithm and deep learning techniques with …