• 13 min read
Deep Learning vs. Traditional Computer Vision
This blog compares traditional computer vision and deep learning, with practical examples using Roboflow Workflows.
• 5 min read
Why to Add Noise to Images for Machine Learning
Learn why adding noise can be effective as an image augmentation in computer vision modeling.
• 6 min read
Behind the Design of an Augmented Reality Board Game App
A designer's augmented reality app design process, start to finish: research, three AR iterations, SwiftUI tradeoffs, testing, and neon branding.
• 7 min read
VoTT for Image Annotation and Labeling
A guide on using VoTT to label your own computer vision dataset.
• 10 min read
Build a Body-in-White Inspection System with Computer Vision
Optimize your Body-in-White quality gate with computer vision. This guide walks you through building a sophisticated, two-stage vision system with RF-DETR Small and Gemini 3.1 Pro.
• 8 min read
Extracting Structured JSON from Any Image
Learn how to use vision-language models and Roboflow Workflows to automatically extract structured JSON data from images.
• 7 min read
How to Train a Custom TensorFlow Lite (Now LiteRT) Object Detection Model
Learn how to train a custom TensorFlow Lite object detection model with a custom dataset.
• 4 min read
How Transport for Cairo is Improving Commuting for Millions with Computer Vision
Learn how Transport for Cairo is improving commuting for millions with computer vision.
• 21 min read
How to Build Automated Pallet Accounting at End-of-Line with Roboflow
Automate pallet accounting at end-of-line with Roboflow Workflows and RF-DETR. Track every pallet from conveyor arrival to forklift pickup using zone-based monitoring and real-time event logging.
• 9 min read
How to Detect Small Objects with Roboflow Workflows
Learn how to use Roboflow Workflows to detect small objects with a computer vision model and the SAHI inference technique.
• 7 min read
Visual Quality Management with Roboflow
This guide shows you how to build a complete high-stakes inspection loop for visual quality management.
• 13 min read
Building Vision-Language Pipelines with VLMs
This guide explores how to integrate proprietary models like Gemini 3 and open-source powerhouses like Qwen 3 into Roboflow Workflows, to build sophisticated multimodal pipelines for everything from automated image renaming to complex industrial reasoning.
• 12 min read
Cognex vs. Keyence: Which Machine Vision System Is Right for You?
Cognex vs Keyence comparison across cost, setup, and false positives, and why a vision AI platform may actually be the best fit.
• 3 min read
Porch Box Detection Using Computer Vision
How a developer built local package detection with a $100 Jetson Nano and an IP camera: 15 starter images, iterative retraining, no cloud fees.
• 6 min read
Inference as a Service: How Roboflow Makes Vision AI Production-Ready
This guide explores how to abstract away the complexities of GPU orchestration and hardware allocation. Roboflow offers a production-grade API with built-in active learning, model chaining, and auto-scaling to turn your vision models into real-world solutions.
• 3 min read
When Should I Auto-Orient My Images?
Learn when you should auto-orient images for use in training computer vision models.
• 12 min read
Roboflow vs. Ultralytics: Which Computer Vision Stack Should I Build On?
Roboflow vs. Ultralytics compared: Apache 2.0 vs. AGPL licensing, data security, RF-DETR vs. YOLO, and how fast each one ships to production.
• 7 min read
How to Train YOLOv4 on a Custom Dataset
Want to train YOLOv4? Train a custom object detector without Darknet, a config file, or a GPU: Learn how with Roboflow.
• 10 min read
How to Train an EfficientDet Object Detection Model with a Custom Dataset
Learn how to train an EfficientDet object detection model with a custom dataset.
• 14 min read
What Is YOLOv8? Architecture, Accuracy, and How to Use It
YOLOv8 is a computer vision model architecture that you can use for object detection, segmentation, keypoint detection, and more.
• 6 min read
What an MES Does on the Factory Floor
Manufacturing Execution Systems run the factory floor - but they can't see it. What an MES does, where it stops, and where vision AI picks up.
• 5 min read
What to Think About When Choosing Vision Model Sizes
When training any machine learning model, you must trade off inference speed for accuracy. Larger models with more parameters are uniformly more accurate, and smaller models with fewer parameters are uniformly faster to infer.
• 5 min read
What Is Machine Guarding? A Comprehensive Guide to Industrial Safety
Explore the fundamentals of industrial machine guarding. Learn about fixed barriers, OSHA compliance, and how computer vision enables smart virtual guarding.
• 14 min read
How to Increase Inference Speed for Computer Vision Models
Struggling with low FPS in your computer vision model? This guide explains how to move from single-digit performance to real-time deployment using smarter preprocessing, Nano-scale models like RF-DETR, GPU acceleration, TensorRT optimization, and Roboflow Inference pipelines for maximum throughput.
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