• 8 min read
Train a Computer Vision Model with Azure Custom Vision
In this guide, you will learn how to train a computer vision model using Azure Custom Vision.
• 5 min read
Label a Computer Vision Dataset with AWS Rekognition Custom Labels
In this guide, we show how to label a computer vision dataset with AWS Rekognition Custom Labels.
• 6 min read
Label a Computer Vision Dataset with Vertex AI
In this guide, we show you how to label computer vision datasets using Vertex AI.
• 9 min read
Enhancing Child Safety with Computer Vision
SUMMARY
Object detection can add a real-time monitoring layer to child safety by alerting caregivers when a child enters a defined hazard zone, such as the area around a swimming pool. This tutorial walks through setting up Roboflow Inference to run a trained detection model, defining polygon boundaries around
• 10 min read
Aerial Fire Detection with Drone Imagery and Computer Vision
In this article, Timothy Malche shows the steps he followed to build an aerial fire detection system with drone imagery and computer vision.
• 7 min read
How to Monitor a Video with Computer Vision
In this guide, we show how to monitor a video for the presence and absence of objects across frames and time in a video.
• 5 min read
How to Run Inference with UDP on Roboflow Inference
In this guide, we show how to run inference using computer vision models over a UDP connection.
• 4 min read
How to Use SAHI to Detect Small Objects
In this guide, we show how to use the SAHI implementation in the supervision Python package to detect small objects in images.
• 7 min read
Using Computer Vision for Online Exam Proctoring
SUMMARY
This tutorial builds an online exam proctoring system that uses a webcam and Roboflow Inference to detect when a student picks up a phone during a remote assessment. A pre-trained phone detection model from Roboflow Universe is deployed via the Inference API, and the live webcam feed is
• 6 min read
How to Use Computer Vision to Monitor Inventory: Inventory Management AI
SUMMARY
This tutorial builds an inventory monitoring pipeline that extracts video frames at defined time intervals, runs each frame through Roboflow Inference Server against a model trained on packaged shelf items, and outputs structured CSV files (per-object detections, counts per interval, counts by class) along with bar charts showing
• 5 min read
Open Source Computer Vision Deployment with Roboflow Inference
We are open sourcing the Roboflow Inference Server: our battle-hardened solution for using and deploying computer vision models in production. Learn more in this guide.
• 6 min read
Ultimate Guide to Converting Bounding Boxes, Masks and Polygons
In this guide, we show how to convert bounding boxes (xyxy), masks, and polygons.
• 6 min read
What is EfficientNet? The Ultimate Guide.
In this guide, we discuss what EfficientNet is, how it works, and how the compound scaling method is used in the model.
• 10 min read
How to Use Computer Vision for Environment Monitoring
SUMMARY
Satellite and drone imagery analyzed by computer vision models can measure environmental change at a scale and frequency that manual scientific monitoring cannot match, turning pixel data into quantifiable ESG metrics like built-up area, deforestation extent, water coverage, and crop health. This guide walks through building a remote
• 5 min read
Detect and Segment Oil Spills Using Computer Vision
SUMMARY
Drone footage of an oil spill carries enough information to determine spill volume, thickness, and spatial extent, but only if the imagery is analyzed with a model trained to distinguish those properties. This post walks through building an instance segmentation model that labels oil spill regions by thickness class,
• 7 min read
Build a Chess Game Recorder with Computer Vision
SUMMARY
Clio, built by the team at A1H1, is a portable chess recording device that uses computer vision instead of embedded sensors to digitize over-the-board games, bringing the cost well below the roughly $500 USD of sensor-equipped commercial sets. The system handles two distinct problems: detecting the
• 7 min read
How to Deploy Computer Vision Models to Jetson Orin Nano
Learn how to dpeloy computer vision models to a Jetson Orin Nano with Roboflow.
• 5 min read
How to Build a Semantic Image Search Engine with Supabase and OpenAI CLIP
SUMMARY
OpenAI's CLIP model encodes both images and text into a shared embedding space, making it possible to search an image library with a plain text query and get back visually and semantically relevant results. This tutorial builds that system by calling the CLIP model through Roboflow'
• 7 min read
ChatGPT Code Interpreter for Computer Vision
In this article, we share the results of our experimentation with ChatGPT's code interpreter feature on various computer vision tasks.
• 9 min read
How to Deploy a Roboflow Model to Lens Studio
This guide demonstrates how to build a computer vision model in Roboflow and deploy the model to Lens Studio.
• 5 min read
How to Deploy YOLOv8 Using Intel's OpenVINO and Amazon SageMaker
Learn how to deploy an Ultralytics yOLOv8 model using OpenVINO and AWS SageMaker.
• 8 min read
Automated Computer Vision Inspection of Physical Pipelines
In this guide, we show how to identify various types of pipeline defects using computer vision.
• 8 min read
Not All mAPs are Equal and How to Test Model Robustness
Learn how to stress-test the robustness of computer vision models.
• 7 min read
What is ImageBind? A Deep Dive
In this guide, we dive deep into Meta Research's new ImageBind model. We discuss what the model is, how it works, and its real-world applications.
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