• 8 min read
Dimensional Defect Inspection with Vision AI
Catch dimensional defects automatically: a Roboflow Workflow where Gemini detects features and a Python block measures spacing for pass/fail.
• 4 min read
Making Visual AI Standard Practice in Complex Manufacturing
Learn how to implement visual AI in manufacturing from Florida Crystals' quality lead: trust tests, feedback loops, and pilots that scale.
• 12 min read
Detect Anything Model
A detect anything model finds any object from a text prompt, no training or labels. Build one with SAM3 in Roboflow Workflows to search a scene.
• 10 min read
Predictive Maintenance with Vision AI
Use RF-DETR to detect early bearing defects and Gemini 2.5 Pro to analyze defect severity, explain potential failure causes, and generate maintenance recommendations.
• 2 min read
Claude Sonnet 5 for Vision: Evaluation and Benchmarks
We ran Claude Sonnet 5 through the Roboflow Vision Evals across 67 real vision prompts. It ties Sonnet 4.6, trails Fable 5, and sits well behind Gemini 3.5 Flash, which still leads the board.
• 4 min read
Build a 3D Soccer Offside (VAR) System
Learn how to build a 3D soccer offside (VAR) system from any video clip.
• 5 min read
Turning Computer Vision Into Real‑World Value at Enterprise Scale
Learn why computer vision pilots fail in the real world. Roboflow CEO Joseph Nelson shares a three-step playbook for deploying vision AI in production.
• 5 min read
Natural Language Image Annotation
Automatically annotate images from text prompts: SAM 3 masks in Roboflow or Autodistill in Python, then train RF-DETR.
• 12 min read
Fastest Object Detection Models in 2026
Compare the fastest object detection models. Learn how to test models in Roboflow Workflows and use local Inference profiling to choose the best model for your data.
• 15 min read
Defect Inspection
Automate manufacturing defect inspection with computer vision. Learn how to train an RF-DETR model and build a pass/fail QA workflow using Roboflow and Gemini.
• 11 min read
What Is A Two-Stage Detector?
Learn what a two-stage detector is, how it works, and how it compares with one-stage models like YOLO. This guide explains the architecture, common examples such as Faster R-CNN and Mask R-CNN, and shows how to train Faster R-CNN using a Roboflow dataset in Colab.
• 9 min read
Text Prompt Object Detection with Roboflow
Text prompt object detection with SAM3: type your classes in a Roboflow Workflow and get boxes, masks, and confidence, no dataset or training.
• 8 min read
Building a Drone-Based Security System with Computer Vision
Learn how to build an automated drone security system. Use Roboflow inference, supervision, and PTZ cameras to detect intrusions and dispatch drones.
• 4 min read
Human-in-the-Loop Computer Vision: Closing the Gap Between the Model and the Floor
See how human-in-the-loop computer vision closes the gap between model metrics and the floor. Watch operators improve the next model live.
• 8 min read
Transmission Line Inspection AI
Detect foreign objects and damaged cables on transmission lines using RF-DETR and Roboflow Workflows.
• 7 min read
Tarmac Safety AI
Build an automated airport FOD detection workflow using RF-DETR, Roboflow Workflows, and Gemini 2.5 Pro.
• 11 min read
How to Build a Promptable Object Detection Project
Promptable object detection with SAM 3: detect and count objects from a text prompt, no training, then graduate to an RF-DETR model to scale.
• 11 min read
Video Analytics with Vision AI
Automate conveyor box inspection with video analytics. Learn how to combine RF-DETR, ByteTrack, and Gemini 2.5 Pro in Roboflow to track and detect defects.
• 9 min read
Automated Tablet Defect Inspection
Train a pill detection model, crop each tablet, classify defects with a VLM, and sort every inspection into pass or fail.
• 7 min read
Injection Molding Defect Detection for Medical Components
Use RF-DETR and Gemini 2.5 Pro to detect defects on molded components and generate automated inspection observations.
• 8 min read
Outsourced Data Labeling in Roboflow
Roboflow offers outsourced labeling via approved partners. Receive the custom annotations you need to train high-quality models.
• 9 min read
How to Fine-Tune RF-DETR Keypoints on Custom Data
A step-by-step guide to fine-tuning RF-DETR Keypoint on a custom basketball court dataset, from COCO pretrained inference to training, evaluation, and broadcast-video inference.
• 23 min read
Optical Character Recognition (OCR): How It Works
hat optical character recognition is, how OCR works in 5 steps, Tesseract vs EasyOCR vs PaddleOCR vs VLMs, and how to build an OCR pipeline in Roboflow.
• 6 min read
The Vision AI Maturity Model: A Framework for Taking Pilots to Production Scale
Discover a five-level model showing how vision AI evolves from isolated pilots into a reusable system across sites.
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