• 14 min read
What is OCR Data Extraction?
Learn what OCR data extraction is and what models you can use to programmatically read the contents of images.
• 14 min read
Keep Objects Centered with Object Detection-Based Camera Framing
Learn how to keep objects centered in a video or focus on objects using object detection-based camera framing.
![Best Computer Vision Courses [2025]](/content/images/size/w640/2025/01/16_9-2-.png)
• 8 min read
Best Computer Vision Courses [2025]
Explore the five best courses for learning computer vision available online in 2025.
• 6 min read
5 Best Image Annotation Tools in 2025
Explore the top five image annotation tools you can use to label data for your next computer vision project.
![Best Computer Vision Blogs [2025]](/content/images/size/w640/2025/01/16_9-3-.png)
• 3 min read
Best Computer Vision Blogs [2025]
Explore the six best blogs and feeds for the latest computer vision news and papers.
![What is YOLO? The Ultimate Guide [2025]](/content/images/size/w640/2024/10/16_9--5--min.png)
• 9 min read
What is YOLO? The Ultimate Guide [2025]
Learn about the history of the YOLO family of objec tdetection models, extensively used across a wide range of object detection tasks.
• 12 min read
What is Computer Vision and Machine Vision? A Guide for Beginners
After reading this post, you should have a good understanding of computer vision without a strong technical background and you should know the steps needed to solve a computer vision problem.
• 7 min read
What is Semantic Segmentation?
In this guide, learn what semantic segmentation is, how it works, and what model architectures are commonly used for semantic segmentation.
• 6 min read
What is Transfer Learning? A Deep Learning Guide for Beginners
Learn what transfer learning is and how it is used in computer vision.
• 3 min read
Computer Vision for Automotive Manufacturing
Automotive manufacturing is a unique, competitive, and complex segment within the manufacturing industry which requires continually improving processes using the latest technology to gain market share. The industry is going through rapid changes and automotive manufacturers are undergoing modernization efforts to increase overall equipment effectiveness, reduce cost of quality, and
• 15 min read
What is a Neural Network? A Deep Dive
In this article, we discuss what a neural network is and walk through the most common network architectures.
• 3 min read
Best Computer Vision YouTube Channels [2025]
Explore five of the best YouTube channels you can use to learn about computer vision and image processing.
• 7 min read
5 Strategies for Handling Unbalanced Classes in Machine Learning
Dealing with unbalance classes is a common challenge that can significantly impact the performance of your models. When one class dominates the dataset algorithms become biased, leading to inaccurate predictions. Suppose you're trying to teach an alien – like one of the crew mates from the wildly popular game
• 7 min read
Deploying Machine Learning Models with PyTorch, gRPC, and asyncio
Today we're going to see how to deploy a machine-learning model behind gRPC service running via asyncio. gRPC promises to be faster, more scalable, and more optimized than HTTP v1.
gRPC is supported in all major programming languages and will create types hints, client, and server code for
• 6 min read
Rock, Paper, Scissors with AI: How to Make Multiplayer Games
This is a template for making multiplayer games - such as rock paper scissors- that involve your hands and body using AI or computer vision. You can even submit new games to the repo and I will host them at https://handland.lol
Included Multiplayer Games:
The repo currently comes
• 7 min read
Extract Nutrition Data from Food Labels with Computer Vision
Accurate nutrition data extraction from food labels is difficult due to the variability of label information, size of labels, and current vision model capabilities. Traditional OCR (Optical Character Recognition) tools struggle with the complexity and variability of food labels, but Vision Language Models (VLMs) like GPT-4o offer a powerful, context-aware
• 8 min read
What is Few-Shot Learning?
In this blog post, we discuss what few-shot learning is, architectural approaches for implementing few-shot learning, and specific implementations of few-shot learning techniques.
• 5 min read
Launch: Embeddings in Workflows
Learn how to calculate and compare CLIP embeddings and find outlier images using those embeddings in Roboflow Workflows.
• 6 min read
How to Send a Slack Notification with Roboflow Workflows
Learn how to send Slack notifications as part of a multi-stage, production computer vision application.
• 9 min read
Automated Sorting with Computer Vision
Learn how to build an automated sorting system using computer vision.
• 3 min read
Automate Game Scorekeeping with Vision AI
Introduction
Cornhole is a game I like to play with my family during summer get-togethers. However, it can be hard to keep track of the score, leading to arguments and, occasionally, long-term family feuds. By creating a computer vision model to keep track of the score, I’m hoping to
• 6 min read
How to Build Gaze Control into Mobile Games
Ever wanted to control a game just by moving your head? In this tutorial, I'll show you how to create a gaze controlled Tetris game using Expo, React Native and Roboflow Workflows.
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• 5 min read
Launch: Fine-Tune PaliGemma-2 for VQA with Roboflow
Learn how to fine-tune PaliGemma-2 for VQA with Roboflow.
• 6 min read
The Evolution of Distributed Work at Roboflow
Learn how Roboflow's approach to distributed work has evolved over the years, and the key learnings from our journey.
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