• 9 min read
Ceramic Defect Detection with Computer Vision
Learn how to use computer vision to detect defects in ceramic material.
• 6 min read
Qwen3.8-Max for Vision: Benchmarks, Strengths, and Real-World Tests
Qwen3.8-Max tops our VLM object detection benchmark and performs strongly on counting and reasoning. We test its strengths, limits, speed, cost, and deployment.
• 7 min read
Bottle Cap Inspection with Computer Vision
Learn how to use computer vision to verify the integrity of bottle caps on an assembly line.
• 8 min read
Hog Ring Detection with Computer Vision
Detect visible hog rings with RF-DETR, compare their positions with predefined attachment zones, and use Gemini 2.5 Pro to generate an automotive seat inspection summary.
• 6 min read
GPT 5.6 Sol is the best "vision" model OpenAI ever released
GPT-5.6 Sol is OpenAI’s strongest vision model yet. We tested Sol, Terra, and Luna across detection, counting, OCR, and extraction, then compared their results, speed, and cost with leading VLMs.
• 9 min read
How to Detect Metal Defects with Computer Vision
Learn how to detect metal defects using computer vision.
• 4 min read
Reduce Class Flickering: Introducing Track Class Lock
SUMMARY
Track Class Lock is a new Roboflow Workflow block that stops object detection labels from flickering on video (the bottle that reads "remote" for a frame, then "bottle" again) by watching each tracked object and freezing its class once the detector has voted for it
• 13 min read
How to Train a YOLOv11 Object Detection Model on a Custom Dataset
Learn how to train a YOLOv11 object detection model with a custom dataset.
• 7 min read
How to Use Tiling During Inference
Discover how image tiling improves small object detection. Learn to apply it during training and inference using Roboflow Workflows.
• 6 min read
Gemini 3.5 Flash for Vision: Evaluation and Benchmarks
SUMMARY
Gemini 3.5 Flash, released at Google I/O on May 19, 2026, currently tops the Roboflow Vision Evals leaderboard across 67 real vision prompts covering defect detection, document understanding, object counting, and spatial reasoning. It outperforms Gemini 3.1 Pro on counting and spatial tasks while running roughly
• 10 min read
What Is YOLO? The Guide to YOLO Models
Learn about the history of the YOLO family of objec tdetection models, extensively used across a wide range of object detection tasks.
• 7 min read
Best Object Detection Models
Object detection has entered a new era in 2025. Next-generation models are combining transformer efficiency and real-time speed to power breakthroughs in automation, robotics, and visual intelligence across every industry. See the best models.
• 13 min read
How to Train a YOLO26 Oriented Bounding Box (OBB) Model
Learn how to train a YOLO26 Oriented Bounding Boxes model with a dataset labeled on Roboflow.
• 7 min read
Top Open-Source Object Tracking Tools
Compare the top open source object tracking tools: ByteTrack, BoT-SORT, OC-SORT, DeepSORT, and more, with how to choose and no-code options.
• 5 min read
Neural Architecture Search: Train the best vision model for your data
Balancing inference speed and accuracy just got easier. Learn how Neural Architecture Search evaluates thousands of configurations simultaneously to deliver the highest-performing model for your target hardware.
• 5 min read
Serverless GPU Inference Cost Comparison: Roboflow, GCP, AWS, Azure
SUMMARY
Serving a custom RF-DETR XL model on serverless GPU infrastructure produces dramatically different monthly costs depending on the provider and traffic pattern, so this post benchmarks Roboflow Serverless, GCP Cloud Run, AWS SageMaker, and Azure Serverless GPU across three workloads: continuous inference at one request per 10 seconds,
• 7 min read
How to Build Computer Vision Models with Apple CreateML
Train a no-code object detection model in Apple CreateML: label data in Roboflow, export CreateML JSON, train on your Mac, and deploy to iOS.
• 4 min read
How to Create a TFRecord File for Computer Vision and Object Detection
How to create a TFRecord file for object detection: what it is, when you need it, and how to export one from a labeled dataset in Roboflow.
• 4 min read
What Are Anchor Boxes in Object Detection?
Learn what anchor boxes are, and why they are used in object detection.
• 18 min read
Training a TensorFlow Faster R-CNN Object Detection Model on a Custom Dataset
Train a Faster R-CNN style detector on a custom dataset in your browser: no GPU, no code. Label, train RF-DETR, and deploy from cloud to edge.
• 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.
• 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
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.
• 7 min read
EfficientDet for Object Detection
EfficientDet object detection explained: EfficientNet backbone, BiFPN feature fusion, and compound scaling, plus how to train a detector today.
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