Apr 29, 2025 · In this post, we’ll dive into a Python-based implementation of a real-time multi-camera object detection system using YOLOv8, OpenCV, and Python multiprocessing. We’ll explore the...

Apr 14, 2025 · Introduction. Object detection is a crucial task in computer vision that involves identifying and localizing objects within an image. Traditional models like YOLO, Faster R-CNN, and DETR rely on a fixed set of object categories and require extensive supervised training on large labeled datasets. These models can only detect objects they have seen during training, making them limited in ...

Sep 23, 2020 · In this tutorial, I will only show concrete examples related to my YOLO object detection tasks. So there will be two parts: Using Multiprocessing with YOLO Object Detection in pre-processing and post-processing.

May 3, 2025 · In computer vision tasks, especially in the field of object detection, the backbone network used to extract image features is crucial to the performance of the overall model.

Abstract: We propose a comprehensive computer vision framework that integrates multi-scale signal processing with an enhanced ConvNeXt-YOLO architecture for robust object detection. Our framework addresses three critical challenges in visual recognition: multi-scale feature representation, signal quality enhancement, and model generalization.

Apr 25, 2025 · We begin by outlining the unique challenges of 3D object detection with vision-language models, emphasizing differences from 2D detection in spatial reasoning and data complexity. Traditional approaches using point clouds and voxel grids are compared to modern vision-language frameworks like CLIP and 3D LLMs, which enable open-vocabulary ...

May 8, 2025 · YOLO-RC is a dedicated object detection model designed for roadside object detection in complex traffic scenes, and its structure diagram is shown in Fig. 1. It is based on YOLOv8 to achieve a ...

Aug 31, 2023 · In this paper, we report a host of improvements to our previous state-of-the-art software system to reliably detect and track objects in video streams from panoramic cameras, resulting in an increase in the processing framerate in a Jetson TX2 board, with respect to our previous results.

Apr 25, 2025 · Task 1: Object Detection. Gemini can find objects in an image and report their locations (bounding boxes) based on your text instructions. # Define the text prompt prompt = """ Detect the 2d bounding boxes of objects in image. """ # Fixed, plotting function depends on this. output_prompt = "Return just box_2d and labels, no additional text."

Quick-start notebook which demonstrates how to build an object detection system using a single image or webcam as input. Notebook which explains the basic concepts around model training and evaluation. In addition to detecting objects, also find their precise pixel-masks in an image.