• 10 min read
Flanges Quality Inspection with Computer Vision
Train RF-DETR to catch flange face defects, then sort results into pass, review, and fail.
• 13 min read
Advanced Techniques for Optimizing AI Inference Costs
In this guide, you will learn about advanced techniques that can help reduce AI inference costs across the complete computer vision pipeline.
• 21 min read
Best Computer Vision Models in 2026: A Task-by-Task Guide
Explore the best computer vision models in 2026 for object detection, segmentation, classification, keypoints, OCR, vision-language tasks, depth estimation, and tracking. Compare leading models, benchmarks, licensing, deployment options, and when to fine-tune on custom data using Roboflow tools.
• 13 min read
Top 10 Open-Source Computer Vision Models in 2026
Explore the top 10 open-source computer vision models in 2026 and learn how to use them in the Roboflow.
• 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.
• 3 min read
Roboflow and Standard Bots Partner to Bring Custom Visual Intelligence to Every Robot
Roboflow and Standard Bots are announcing a partnership to enable robots to see, understand, and act with visual intelligence.
• 16 min read
YOLO Training Guide: How to Train a YOLO Model
In this guide you will learn how to train a YOLO model with Roboflow using a labeled dataset, pretrained checkpoints, hosted GPUs, and well managed infrastructure, and as well as how to use the YOLO CLI.
• 4 min read
Launch: RF-DETR Keypoint in Roboflow
RF-DETR Keypoint beats YOLO26-pose on accuracy and speed, learns keypoint uncertainty, and is Apache 2.0. Label, train, and deploy in Roboflow.
• 9 min read
Off-the-Shelf vs. Custom Models for Industrial Computer Vision
SUMMARY
Use off-the-shelf models for rapid prototyping or when your task relies on detecting common, everyday objects that pre-trained models already recognize. However, to achieve the reliability required for specialized industrial production, you must deploy a custom, fine-tuned model trained specifically on your own domain'
• 4 min read
What Is YOLO27?
YOLO27 brings 3D perception to YOLO with YOLO-Depth and YOLO-StereoDepth.
• 12 min read
Train a Computer Vision Model with Roboflow Train
Discover how Roboflow Train automates computer vision model training. Eliminate infrastructure setup, leverage NAS, and deploy to production.
• 9 min read
How to Create a Synthetic Dataset for Computer Vision
Accelerate computer vision model development by generating synthetic images. Learn to build an automated Stability AI pipeline in Roboflow.
• 5 min read
What Is YOLO-StereoDepth?
YOLO-StereoDepth brings stereo depth for robotics to the YOLO family in September 2026. See what we know and how to read metric depth today.
• 4 min read
What Is YOLO-Anomaly?
YOLO-Anomaly brings purpose-built anomaly detection for manufacturing QA. See what to expect.
• 7 min read
The Best Free Computer Vision Models
The best free computer vision models, compared by task, speed, and license.
• 4 min read
What Is YOLO-VLM?
YOLO-VLM pairs a lightweight YOLO front-end with a deeper LLM layer for efficient vision-language pipelines.
• 4 min read
Roboflow MCP: Build Vision Apps with Claude, Codex, and More
The new Roboflow MCP Server connects Claude, Codex, and other AI agents to Roboflow so they can label visual data, train custom models, and build deployable vision pipelines.
• 8 min read
Download Pretrained YOLO Weights
Pretrained YOLO weights give your model a head start by initializing from COCO, a benchmark dataset of 80 real-world object categories. This guide covers what pretrained weights are, how Roboflow uses them for custom training, and how to get started.
• 10 min read
How to Fine-Tune Segment Anything 3 (SAM 3) on a Custom Dataset
Learn how to fine-tune SAM-3 for image segmentation with a custom dataset.
• 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.
• 8 min read
Occlusion Techniques in Computer Vision
Occlusion is when part of an object is hidden from view, and models trained on clean images fail on it: augmentations like Cutout, CutMix, Mosaic, and Copy-Paste block or mix regions during training to force generalization beyond one canonical feature.
• 4 min read
How to Use the Detectron2 Model Zoo for Object Detection
Use the Detectron2 model zoo: train Faster R-CNN from a COCO checkpoint, swap architectures with a one-line config change, and evaluate mAP.
• 11 min read
What is Mean Average Precision (mAP) in Object Detection?
What is mean average precision? How do we calculate mAP?
• 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.
Stay Connected