URL: https://www.progressiverobot.com/mean-average-precision/ To evaluate object detection models like R-CNN and YOLO, the mean average precision (mAP) is used. The mAP compares the ground-truth bounding box to the detected box and returns a score. The higher the score, the more accurate the model is in its detections. In my last article we looked in detail at […]
In this tutorial, we explore Baidu’s RT-DETR object detection framework, explaining its implementation, features, and real-time performance. Learn how to use RT-DETR for deep learning, computer vision, and image recognition tasks with step-by-step guidance.
In this article, we will explore SAM 2, which expands the capabilities of the original SAM to handle both images and videos. It excels in real-time object segmentation, enabling dynamic interaction through prompts and memory attention.
Train YOLOv12 on a custom dataset using GPU cloud servers. Follow this guide for setup, configuration, and scalable model training.
Learn how to train YOLOv5 on a custom dataset with this step-by-step guide. Discover data preparation, model training, hyperparameter tuning, and best practices for object detection.
Follow these step-by-step instructions to learn how to train YOLOv7 on custom datasets, and then test it with our sample demo on detecting objects with the Road Sign Detection dataset with Gradient’s Free GPU Notebooks
Image segmentation makes it easier to work with computer vision applications. We look at U-Net, a convolutional neural network.
In this article we will discuss about YOLOv11, a highly efficient object detection model that offers faster speeds, improved accuracy, and seamless integration across diverse platforms and environments.
Learn how Faster R-CNN works for object detection tasks with its region proposal network and end-to-end architecture.
In this article, we explore the architecture of YOLO NAS. We will understand its neural network design, optimization techniques, and highlight the specific improvements it brings over traditional YOLO models.
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