#YOLO object detection
43 related articles
·2 min
RF-DETR Local Deployment Tutorial: A Higher-Accuracy Object Detection Alternative to YOLO
RF-DETR is the first real-time detector to surpass 60 mAP on COCO. This guide covers full local deployment: Conda setup, pip install, and image/video inference.
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Tutorials·2 min
OpenCode in Practice: Building a Fully Automated YOLOv8 Object Detection Pipeline with Zero Code
Learn how to use OpenCode's Skill model to automate the entire YOLOv8 object detection workflow — from camera recording and auto-annotation to training and real-time detection — with zero code in just two hours.
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·3 min
Pothole Detection Model Misclassifying Roadsides? A Practical Guide to Object Detection Optimization
Pothole detection model misclassifying roadsides? Learn systematic approaches to reduce false positives through negative samples, annotation quality, data augmentation, drone small object detection, and segmentation strategies.
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·3 min
AI Game Development Showdown: Claude, Kimi K3, and ChatGPT Recreate Classic Games — Who Wins?
Bilibili creator tests Claude Fable 5, Kimi K3, and ChatGPT Codex recreating Hollow Knight, Cuphead, and Zelda — comparing code quality, collision detection, and Boss design.
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·5 min
Open-Source STEM Education Robot: Smart Ball-Fetching Interaction Powered by Edge AI Object Detection
An open-source STEM education robot using Edge Impulse edge AI for local object detection, teaching kids computer vision and ML through an engaging ball-fetching game with anthropomorphic design.
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·1 min
Radxa Cubie A7Z Real-World Test: 330ms End-to-End Object Detection Latency Under Full NPU Load
Deep analysis of Radxa Cubie A7Z achieving 330ms glass-to-glass object detection latency under full NPU load, covering latency breakdown, practical use cases, and edge AI optimization strategies.
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·3 min
Building a YOLO26 Inference Engine from Scratch in ARM64 Assembly: A Deep Dive into Low-Level Optimization
Deep dive into building a YOLO26n object detection inference engine from scratch using ARM64 assembly and C, covering NEON SIMD, Winograd convolution, GEMM micro-kernels, and cache tiling optimizations.
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·7 min
DIY Companion Robot: Building Your AI Desktop Buddy with Jetson Orin
A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.
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·2 min
6 High-Paying AI Career Paths: A Beginner's Shortcut and Salary Guide
A breakdown of the 6 best high-paying AI career paths for beginners: LLM application development, AI agents, computer vision, AI infrastructure, AIGC, and embodied AI—with salary ranges, core skills, and who they suit.
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·7 min
The Complete AI Character LoRA Training Workflow: Hands-On Multi-Character Consistency Generation with Local Deployment
A detailed guide to a complete local AI character generation workflow: from the five golden rules of LoRA training and automated ComfyUI dataset construction to hands-on comparisons of Crea2, Ideogram4, and Wan for multi-character same-frame interaction—all running free on personal hardware.
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·2 min
Ego Vision: A Deep Dive into the YOLO11-Based Driving Action Prediction System
Ego Vision is an open-source autonomous driving perception project integrating YOLO11, ByteTrack, and Depth Anything V2 to predict GO/SLOW DOWN/STOP/EMERGENCY BRAKE actions.
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·3 min
The Three Core LLM Job Roles Explained: Entry Requirements and Career Roadmaps
A deep dive into the three core LLM job roles — Application Engineer, R&D Engineer, and Algorithm Engineer — covering academic requirements, salaries, and skill roadmaps.
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·2 min
YOLO-Distill: A YOLOv9 Knowledge Distillation Toolkit Under MIT License for Free Commercial Use
YOLO-Distill is an open-source YOLOv9 knowledge distillation toolkit under MIT license, supporting CWD and MGD feature distillation for lightweight edge deployment.
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·2 min
Can AI Make Fruit-Picking Robots Practical? Four Core Challenges Explained
Why can't fruit-picking robots scale up? This article breaks down the four core challenges — visual perception, motion planning, end-effectors, and cost — and how AI is helping.
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·3 min
UAV Disaster Zone Rescue Priority Assessment: A Deep Feasibility Analysis for Final Year Projects
A deep feasibility analysis of a UAV disaster-zone rescue priority assessment project, covering SARD/HERIDAL/VisDrone datasets, pose detection, YOLO models, and ethical boundaries — a practical reference for CV final-year projects.
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Computer Vision Career Paths: A Guide …
·3 min
Computer Vision Career Paths: A Guide for Undergraduates
Is Computer Vision worth pursuing as a career? This guide covers CV job market realities, master's vs. industry tradeoffs, edge deployment skills, and how to transition toward multimodal AI engineering.
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·3 min
YOLO-Pose Real-Time Yoga Pose Recognition and Correction System Explained
A deep dive into a real-time yoga pose recognition system built with YOLO-Pose: 33 keypoints, deterministic logic engine, and geometric angle thresholds for explainable AI coaching.
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·2 min
Multi-Sensor Kalman Fusion in Practice: A Complete Breakdown of the Shahed Drone Tracking System
A deep dive into a multi-sensor Kalman fusion drone tracking system: upgrading from single camera to camera+RF, covering CA motion models, OOSM handling, trajectory prediction, and achieving 3.36px RMSE fusion accuracy.
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·2 min
SentinelCV: An Open-Source AI Fall Detection Solution Using Your Existing Cameras
SentinelCV is an open-source YOLOv8-based fall detection system that works with existing CCTV and IP cameras. Get real-time alerts via Telegram — no new hardware needed.
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·3 min
AI-Powered OSINT in Practice: A Learning Path and Tool Guide for CS Professionals
How can OSINT practitioners with a CS background automate intelligence with AI? This guide covers computer vision, VLMs, and Agent frameworks including YOLO, SAM, and Grounding DINO.
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