• 17 min read
Monitor Movement in Retail Stores with Computer Vision
In this article, we walk through how to monitor movement in areas of a retail store using computer vision
• 4 min read
Launch: Collaborative Annotation Updates
SUMMARY
Roboflow's Collaborative Annotation platform has reached over 100,000 users and 100 million annotated images, and this launch adds several features that reduce manual overhead for large teams. New capabilities include API endpoints for uploading batches and assigning annotation jobs programmatically, aggregate batch metrics in the Board
• 7 min read
What is Semi-Supervised Learning? A Guide for Beginners.
In this post, we discuss what semi-supervised learning is and walk through the techniques used in semi-supervised learning.
• 8 min read
Computer Vision Assisted Structural Damage Inspection Using Drones
In this post, Timothy Malche walks through how to inspect structural damage with computer vision and drones.
• 2 min read
Launch: Roboflow Notebooks Repo Integration with SageMaker Studio Labs
Learn how to use notebooks in the Roboflow Notebooks repository with AWS SageMaker Studio Lab.
• 3 min read
Launch: Roboflow Integration with Ultralytics HUB
SUMMARY
Roboflow and Ultralytics HUB now support a direct integration that connects dataset management with model training and model-assisted labeling. Users can export any Roboflow dataset to Ultralytics HUB for custom YOLOv5 training, then bring the trained model weights back into Roboflow to power Label Assist for annotating under-
• 4 min read
Track Football Players with Computer Vision
In this post, we use a YOLOv5 detection model and state-of-the-art tracker ByteTRACK to track football players.
• 7 min read
Preventing Accidents on Construction Sites with Computer Vision
In this article, we discuss how a community member built a system to prevent accidents on construction sites.
• 8 min read
Studying Links Between Litter and Socio-Economic Factors with Computer Vision
In this post, we talk about a report that studies links between litter and socio-economic factors with help from computer vision.
• 3 min read
Roboflow Changelog: November 2022
Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from November 2022.
• 7 min read
What is a Segmentation Mask? An Introduction
In this guide, you will learn how to create segmentation masks with the results of a computer vision model hosted on Roboflow.
• 6 min read
Top 6 Environment Datasets for Computer Vision Projects
In this article, we highlight six open-source datasets you can use to solve various problems related to the environment with computer vision.
• 6 min read
📸 Roboflow 100: A Multi-Domain Object Detection Benchmark
Roboflow 100 (RF100) is a crowdsourced object detection benchmark. The dataset consists of 100 datasets, 7 imagery domains, 224,714 images, and 829 class labels with over 11,170 labeling hours.
• 14 min read
Turn Analog Dials into Digital Data with Computer Vision
In this article, we discuss how to turn information displayed on analog dials into digital data.
• 8 min read
What is a Confusion Matrix? A Beginner's Guide.
In this guide, we discuss what a confusion matrix is and how to use them to evaluate the performance of a computer vision model.
• 6 min read
5 Hobbyist Computer Vision Project Ideas
This article discusses five ideas of projects you could build to help you learn about computer vision.
• 15 min read
Monitoring My Caffeine Intake with Computer Vision
In this post, learn how to build a tool that monitors how many cups of tea or coffee you drink in a day.
• 4 min read
How to Use RPA to Supercharge Computer Vision Applications
SUMMARY
Robotic Process Automation tools like Microsoft Power Automate let you chain downstream actions onto computer vision inference results without writing a full backend. The post demonstrates the pattern by running inference on an image through a Roboflow model, sending the prediction data to a Power Automate webhook, and having
• 5 min read
Using Computer Vision to Save Sea Lions
SUMMARY
Steller sea lion numbers in Alaska's western Aleutian Islands have dropped 94% over 30 years, and NOAA researchers studying the cause generate thousands of remote camera images that must be reviewed manually. A computer vision tool called Steller Sight automates the triage step, classifying each image as
• 4 min read
Use Docker to Deploy Computer Vision Models
SUMMARY
Deploying a computer vision model involves far more than training it: managing Python packages, CUDA versions, system-level dependencies, and hardware differences all create friction before a single inference runs in production. Docker addresses this by packaging an application and all its dependencies into a portable container image, which
• 5 min read
Launch: Roboflow Command-line Interface
SUMMARY
The Roboflow CLI, installed via npm, lets you manage workspaces and projects, upload images and annotations, import datasets in common formats (COCO, Pascal VOC, and others), and run inference on object detection, classification, instance segmentation, or semantic segmentation models, all without opening a browser. Authentication stores API keys locally
• 5 min read
Top 6 Gaming Datasets for Computer Vision Projects
SUMMARY
Six gaming-oriented datasets from Roboflow Universe cover a range of real-world and digital game scenarios: a 350-image domino pip dataset for score tracking, a 6.3K-image Counter-Strike player dataset with CT and T team labels, draughts and chess piece detection sets, a billiards ball
• 5 min read
Top 7 Sports Datasets for Computer Vision Projects
SUMMARY
Seven sports datasets on Roboflow Universe span classification and object detection across multiple disciplines: cricket, football, and baseball image classification; a 5K-image football helmet detection set for impact tracking; shuttlecock and golf ball detection for racket and club sports; a boxing punch detector; a cyclist database; and a
• 8 min read
Identifying Objects in Multimedia Databases with Computer Vision
In this post, we discuss research from Prof. Luigi Laura and Mirko Cangiano showing how to identify objects in multimedia databases.
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