Foundations
Computer Vision
Object detection, segmentation, YOLO, CLIP, and vision-language models
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Dev.to · Beck_Moulton
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Forget Manual Logs: Building a Real-Time Medication Compliance Auditor with YOLOv10 and TensorRT
Managing multiple medications is a high-stakes challenge, especially for the elderly or patients with...

Dev.to · Kamaumbugua-dev
👁️ Computer Vision
⚡ AI Lesson
4mo ago
I Built an AI That Sees Your Screen and Speaks Your Answers, Here's How
I Built an AI That Sees Your Screen and Speaks Your Answers — Here's How This post was...
DeepMind Blog
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Nano Banana 2: Combining Pro capabilities with lightning-fast speed
Our latest image generation model offers advanced world knowledge, production ready specs, subject consistency and more, all at Flash speed.

Google AI Blog
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Nano Banana 2: Combining Pro capabilities with lightning-fast speed
Our latest image generation model offers advanced world knowledge, production-ready specs, subject consistency and more, all at Flash speed.

Google AI Blog
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Build with Nano Banana 2, our best image generation and editing model
Nano Banana 2 (Gemini 3.1 Flash Image) delivers Pro-level intelligence and fidelity for all image applications.

Dev.to · Nick
👁️ Computer Vision
⚡ AI Lesson
4mo ago
We built a face swap app that provides evidence that it deletes your photos (not just promise it)
We built a face swap app that provides evidence it deletes your photos (not just promise...

Dev.to · YMori
👁️ Computer Vision
⚡ AI Lesson
4mo ago
3D Skeleton Detection from Baseball Motion Capture Data with Driveline C3D
I analyzed pitching and hitting biomechanics using Driveline OpenBiomechanics C3D data, ezc3d, and MediaPipe. Trunk rotation range showed the strongest correlat

Microsoft Research
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Media Authenticity Methods in Practice: Capabilities, Limitations, and Directions
As synthetic media grows, verifying what’s real, and the origin of content, matters more than ever. Our latest report explores media integrity and authenticatio

Dev.to · albert nahas
👁️ Computer Vision
4mo ago
Food Image Recognition: How AI Identifies What's on Your Plate
Discover how AI-powered food image recognition accurately identifies and estimates your meals. Explore tech insights and boost your app’s accuracy today!

Dev.to · Jacob Nastaskin
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Building FridgeChef: What I Learned Training a Custom Computer Vision Model with Roboflow
I spend too much time staring at my fridge trying to figure out what to make for dinner. So I built...

Replicate Blog
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Recraft V4: image generation with design taste
Recraft V4 generates art-directed images — and actual editable SVGs — with strong composition, accurate text rendering, and what the Recraft team calls "design

Dev.to · Shira S
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Generating SEM Images from Segmentation Masks
Acknowledgements We would like to thank our mentors, Asaf Nisani and Yoav Lebendiker, for...

Dev.to · Paul Robertson
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Computer Vision for Web Developers: Build an Image Recognition App with TensorFlow.js
Learn to build a complete image recognition web app using TensorFlow.js with real-time webcam classification and object detection. Includes practical code examp

Dev.to · 💻 Arpad Kish 💻
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Exploring conv-kmeans-lab: A C++ Tool for CIELAB Image Color Segmentation
Image segmentation is a fundamental task in computer vision, and grouping pixels by color is one of...

Dev.to · Maulik Sompura
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Stop Manual Segmentation: Meet NotumAi - An Open-Source AI Annotation Tool
If you've ever built a computer vision model, you know this truth: Data annotation is the slowest,...

Dev.to · VeritasChain Standards Organization (VSO)
👁️ Computer Vision
⚡ AI Lesson
4mo ago
How We Built Multi-Modal Screen Detection for Cryptographic Evidence Capture: VeraSnap
TL;DR: We built a system that uses LiDAR depth analysis, moiré pattern detection, rolling shutter...

Dev.to · The Pragamatic Architect
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Decision AI for Enterprise: How CNN-Based Deep Learning Automates Visual Classification at Scale
Bird Identification using Convolutional Neural Network Why Decision AI Is the Real...

Dev.to · Luigi | Full Stack Web Developer
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Why every aspiring developer should understand the CPU and RAM
Today I officially started my journey into the world of JavaScript. Many people start by...

Dev.to · Rijul Rajesh
👁️ Computer Vision
4mo ago
Image Classification with CNNs – Part 3: Understanding Max Pooling and Results
In the previous article, we were going through the creation of feature map. In this article we will...
![Gemini 3 Agentic Vision: Moving Beyond Simple Image Prompting [GDE]](https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fia5icng6uwxfi1h9vkkt.jpeg)
Dev.to · Connie Leung
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Gemini 3 Agentic Vision: Moving Beyond Simple Image Prompting [GDE]
The Pain Point: The Invisible World of the "Granular" Masterpiece When a postcard miniaturizes a...
OpenCV Blog
👁️ Computer Vision
⚡ AI Lesson
4mo ago
Calling Roboticists & Vision Experts: Tackle Dexterous Manipulation and Win Big in the AI for Industry Challenge
A real-world robotics challenge with a $180K prize pool, where innovation and industry impact collide. We’re standing at an inflection point in robotics: electr

Dev.to · Yuvan Shankar
👁️ Computer Vision
5mo ago
EXPLORING OCR MODEL AND BACKEND SUPPORT IN PYTHON
Optical Character Recognition (OCR) is a technology that converts images, scanned documents, or PDFs...

Dev.to · Rijul Rajesh
👁️ Computer Vision
⚡ AI Lesson
5mo ago
Image Classification with Convolutional Neural Networks – Part 2: Creating a Feature Map
In the previous article, we saw why we need convolutional neural networks for solving the image...

Dev.to · Tova A
👁️ Computer Vision
⚡ AI Lesson
5mo ago
Cleaning Up Complexity: Preprocessing Attribution Maps for Better Evaluation
I wanted to compare attribution maps from different XAI methods for vision models, using the...

Dev.to · Javier Salcedo
👁️ Computer Vision
⚡ AI Lesson
5mo ago
Writing a "Hello, Triangle!" with Metal 4 and exclusively C++
This article was initially published here This article will serve as both a tutorial for those who...

Dev.to · Rijul Rajesh
👁️ Computer Vision
⚡ AI Lesson
5mo ago
Image Classification with Convolutional Neural Networks – Part 1: Why We Need CNNs
In this article, we will explore image classification using convolutional neural networks. For this,...

Dev.to · Resumemind
👁️ Computer Vision
5mo ago
What is OCR? (And 4 Real-World Use Cases)
What is OCR? OCR stands for Optical Character Recognition. In simple terms, it is the...
OpenCV Blog
👁️ Computer Vision
⚡ AI Lesson
5mo ago
Real-Time Face Tracking: OpenCV Control of a UR Robot
This project controls a Universal Robots UR5 using real-time face tracking built with OpenCV. A standard webcam provides a live video stream that detects a huma

Dev.to · Sienna
👁️ Computer Vision
5mo ago
2026 Complete Guide: How to Use GLM-OCR for Next-Gen Document Understanding
🎯 Core Takeaways (TL;DR) GLM-OCR is a 0.9B-parameter multimodal OCR model built on the...
OpenCV Blog
👁️ Computer Vision
⚡ AI Lesson
5mo ago
Part 3: Simultaneous Localization & Mapping: Which SLAM Is For You? on OpenCV Live!
Note: This event has been rescheduled but the links still work. Simultaneous Localization & Mapping (SLAM) is one of the most active and contentious areas of CV

Dev.to · Alessandro Pignati
👁️ Computer Vision
5mo ago
"Semantic Chaining" Bypasses Multimodal AI Safety Filters
Ever wondered how "unbreakable" AI safety filters actually are? As developers, we’re often told that...

Dev.to · Beck_Moulton
👁️ Computer Vision
5mo ago
Multimodal RAG in Action: Building a Skin Health Assistant with CLIP and Milvus
In the world of AI, we've moved far beyond simple text-based search. But when it comes to healthcare,...
OpenCV Blog
👁️ Computer Vision
⚡ AI Lesson
5mo ago
OpenCV Live: The Low-Power Computer Vision Challenge 2026
This year the Low-Power Computer Vision Challenge (LPCV) has three tracks with serious prize money including Image-to-Text Retrieval, Action Recognition in Vide

Dev.to · TK Lin
👁️ Computer Vision
5mo ago
🎯 YOLOトレーニング実践
YOLO動物認識トレーニング実践:0から80%精度への完全ガイド 和心村 AI Director 技術ノート #2 🎯...

Dev.to · TK Lin
👁️ Computer Vision
5mo ago
🎯 YOLO訓練實戰
YOLO 動物辨識訓練實戰:從 0 到 80% 準確率的完整指南 和心村 AI Director 技術筆記 #2 🎯 目標:讓 AI...

Dev.to · 💻 Arpad Kish 💻
👁️ Computer Vision
5mo ago
The GreenEyes.AI Vision Stack: A Hybrid Pipeline for Object Labeling and Feature-Based Recognition
Introduction In the rapidly evolving landscape of computer vision, the challenge often...
OpenCV Blog
👁️ Computer Vision
⚡ AI Lesson
5mo ago
From Image Features to Visual Place Recognition: OpenCV Approach
In this blog, we explore Visual Place Recognition (VPR) with hands-on examples using OpenCV and lightweight Python tools. You will create a practical VPR pipeli

Dev.to · Debajyati Dey
👁️ Computer Vision
5mo ago
Get Started With Image Classification in Kaggle using Python
WHAT KAGGLE IS Kaggle is a fantastic and great platform for enthusiastic Data Science...
DeepMind Blog
👁️ Computer Vision
⚡ AI Lesson
5mo ago
D4RT: Teaching AI to see the world in four dimensions
D4RT: Unified, efficient 4D reconstruction and tracking up to 300x faster than prior methods.

Dev.to · Eyasu Asnake
👁️ Computer Vision
5mo ago
Detecting Objects in Images from Any Text Prompt (Not Fixed Classes)
Most object detection systems assume a fixed label set: train a model on COCO, Open Images, or a...

Dev.to · Jason Peterson
👁️ Computer Vision
5mo ago
Did You Know CLIP Works as an AI Image Detector?
OpenAI's CLIP model was trained to match images with text descriptions. But here's something...

OpenCV Blog
👁️ Computer Vision
⚡ AI Lesson
5mo ago
Watershed Segmentation Using OpenCV
Explore the elegant intersection of nature-inspired algorithms and computer vision. This comprehensive technical guide unveils the powerful watershed segmentati

Dev.to · Harris Bashir
👁️ Computer Vision
6mo ago
Building a Production-Ready Traffic Violation Detection System with Computer Vision
Traffic monitoring and violation detection is a classic computer vision problem that looks...

Dev.to · Beck_Moulton
👁️ Computer Vision
6mo ago
Beyond Image Labels: Estimating Food Portions and Calories using Grounding DINO + SAM
Ever tried those calorie tracking apps where you have to manually search for "medium-sized chicken...

Dev.to · SATINATH MONDAL
👁️ Computer Vision
6mo ago
Multimodal AI: Why Text-Only Models Are Already Dead!
Vision, audio, video, and text in a single AI model. Here's why multimodal AI is revolutionizing development and how to build with it today.
BAIR Blog
👁️ Computer Vision
📄 Paper
⚡ AI Lesson
6mo ago
Information-Driven Design of Imaging Systems
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Dev.to · Cyrus Tse
👁️ Computer Vision
6mo ago
Why Rust?
"Every programmer remembers the first time their program crashed with a segmentation fault. Or...
OpenCV Blog
👁️ Computer Vision
⚡ AI Lesson
6mo ago
Enhancing Images: Adaptive Shadow Correction Using OpenCV
In this blog post, we'll tackle this challenge head-on with a practical approach to shadow correction using OpenCV. Our method leverages Multi-Scale Retinex (MS
DeepCamp AI