Table of Contents
- Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection
- The YOLO Evolution (Quick Recap)
- YOLOv8: Introducing the C2f Module and OBB Support
- YOLOv9: Prog...
Similar Articles (10 found)
π 60.0% similar
Table of Contents
- Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset
- Introduction
- Dataset and Task Overview
- About the Data...
π 59.8% similar
In this tutorial, youβll learn how to use the YOLO object detector to detect objects in both images and video streams using Deep Learning, OpenCV, and...
π 58.6% similar
This article doesn't talk much about testing or getting training data. It seems like that part is key.
For code that you think you understand, it's be...
π 58.6% similar
Table of Contents
- People Tracker with YOLOv12 and Centroid Tracker
- Introduction
- Why People Tracker Monitoring Matters
- How YOLOv12 Enables Real...
π 57.9% similar
Table of Contents
- Run YOLO Model in the Browser with ONNX, WebAssembly, and Next.js
- What Is Browser-Based Inference and Why Does It Matter?
- Why ...
π 57.1% similar
0) Prologue: The Turing test
In October 1950, Alan Turing proposed a test. Was it possible to have a conversation with a machine and not be able to te...
π 57.0% similar
Table of Contents
- SmolVLM to SmolVLM2: Compact Models for Multi-Image VQA
- SmolVLM 1: A Compact Yet Capable Vision-Language Model
- What Is SmolVLM...
π 55.7% similar
1. The problem:
We needed a system that could identify specific car models, not just βthis is a BMW,β but which BMW model and year. And it needed to r...
π 55.6% similar
First, thanks to the publisher and authors for making this freely available!
I retired recently after using neural networks since the 1980s. I still s...
π 55.6% similar
Every year, we have a new iPhone that claims to be faster and better in every way. And yes, these new computer vision models and new image sensors can...