Roboflow Blog

4 Mar 2026 • 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.

3 Mar 2026 • 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.

2 Mar 2026 • 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.

2 Mar 2026 • 3 min read

When Should I Auto-Orient My Images?

Learn when you should auto-orient images for use in training computer vision models.

2 Mar 2026 • 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.

2 Mar 2026 • 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.

2 Mar 2026 • 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.

2 Mar 2026 • 13 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.

1 Mar 2026 • 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.

1 Mar 2026 • 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.

1 Mar 2026 • 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.

27 Feb 2026 • 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.

26 Feb 2026 • 7 min read

Automate Package Damage Detection

Build an automated proof of condition system. See how to train a specialized detection model to spot crushed, torn, or wet packages and integrate it into a Roboflow Workflow that triggers real-time Slack alerts the moment damage is detected on the line.

25 Feb 2026 • 8 min read

How to Train a VGG-16 Image Classification Model on Your Own Dataset

The VGG16 model explained: 16 layers, 3x3 filters, 92.7% ImageNet top-5, plus how to train an image classifier on your own data, no GPU.

25 Feb 2026 • 5 min read

Introducing an Improved PlantDoc Dataset for Plant Disease Object Detection

Get the improved PlantDoc dataset for plant disease object detection, and train a plant disease detection model on it in Roboflow with RF-DETR.

24 Feb 2026 • 8 min read

Human-In-The-Loop for High-Stakes AI

This guide demonstrates how to use Roboflow Workflows to build scalable active learning loops, using confidence-based routing and SAM 3 to turn edge-case failures into systematic model improvements.

24 Feb 2026 • 7 min read

Computer Vision for Semiconductor Inspection: Detecting Wafer Defects

Learn how to automate semiconductor quality control by using RF-DETR and computer vision to identify macro-scale physical defects on silicon wafers.

24 Feb 2026 • 5 min read

Why and How to Implement Random Rotate Data Augmentation

Learn how to apply a random rotate data augmentation to images for use in training computer vision models.

24 Feb 2026 • 12 min read

Zero-Shot Pose Estimation for Robotics

Learn how to use YOLO26-Pose and Roboflow Workflows to build and deploy high-performance, zero-shot pose estimation pipelines for real-time robotics.

23 Feb 2026 • 15 min read

Roboflow Training Graphs Guide

Learn how to read Roboflow training graphs. Understand what each curve means, how the underlying metrics are computed, and how to diagnose common training problems.

23 Feb 2026 • 3 min read

Foundational Few-Shot Object Detection Challenge at CVPR 2026

Join Roboflow and CMU at CVPR 2026 for the Roboflow-20VL challenge. Compete for $1,500 in prizes.

22 Feb 2026 • 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.

21 Feb 2026 • 5 min read

Why and How to Implement Random Crop Data Augmentation

Learn how to apply a random crop data augmentation to images for use in training computer vision models.

20 Feb 2026 • 3 min read

Launch: Universe Community Features

We're launching a suite of new Universe Community Features - including dynamic trending pages and research-backed datasets - to help you move from discovery to production faster than ever.