• 12 min read
Multimodal Models and Computer Vision: A Deep Dive
In this post, we discuss what multimodals are, how they work, and their impact on solving computer vision problems.
• 5 min read
Zero-Shot Image Annotation with Grounding DINO and SAM - A Notebook Tutorial
In this comprehensive tutorial, discover how to speed up your image annotation process using Grounding DINO and Segment Anything Model. Learn how to convert object detection datasets into instance segmentation datasets, and use these models to automatically annotate your images.
• 6 min read
Grounding DINO : SOTA Zero-Shot Object Detection
Most object detection models are trained to identify a narrow predetermined collection of classes. Zero-shot detectors like Grounding DINO want to break this status quo by making it possible to detect new objects without re-training a model.
• 4 min read
Roboflow Community Passes 200k Open Source Datasets
Roboflow’s mission is to democratize access to computer vision. We aim to actively help accelerate the world toward a future where everyone can build with computer vision. As a part of this mission, we invest in providing resources to the community in the form of free access to the
• 6 min read
Deploy Models from Roboflow with the Luxonis DepthAI SDK
The new Luxonis DepthAI SDK Roboflow Integration gives users the option to deploy Roboflow models to OAK devices with more functionality and out-of-the-box options for customization of inferences.
• 4 min read
Recap: Roboflow's 12 Days of #Shipmas
Team Roboflow decided to end 2022 strong and kick off 2023 with a bang by shipping 12 new features in 12 days. Updates were made to model-assisted labeling, model training, annotation tools, the REST API, Python SDK, and more.
• 3 min read
Launch: YOLOv8 Models on Roboflow Universe
Pre-trained YOLOv8 models are available for testing and deployment on Roboflow Universe. Test and Deploy YOLOv8 Object Detection models in the app through the Models page.
• 6 min read
Launch: Use Universe Models for Label Assist and Training
In this guide, learn how to use public models on Roboflow Universe to assist you with labeling and to speed up the process of building an accurate model.
• 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
• 5 min read
Top 6 Agriculture Datasets for Computer Vision
Explore six agriculture datasets you can use in computer vision projects.
• 4 min read
Launch: Semantic Segmentation for Labeling, Training, Deployment
SUMMARY
Semantic segmentation assigns a class label to every pixel in an image, making it useful for tasks where per-pixel precision matters: road and sidewalk mapping from aerial imagery, crack detection in infrastructure, defect identification in manufacturing, and medical image analysis. Roboflow now supports semantic segmentation end-to-end,
• 4 min read
Sharing Your Computer Vision Project on Roboflow Universe
In this guide, learn how to launch your computer vision project on Roboflow Universe.
• 4 min read
How to Use Object Detection to Trigger Automated Email Alerts
Learn how to trigger automated email alerts when an object detection model identifies the location of an object.
• 5 min read
Using Gaming Datasets for Game Automation with Computer Vision
SUMMARY
This tutorial walks through building a computer vision model to detect Minecraft tree trunks using screenshots collected across multiple in-game biomes, annotated and trained via Roboflow. The resulting model is deployed through a Python inference script that reads frames from an OBS Studio virtual webcam, enabling real-time
• 4 min read
Open source datasets and pre-trained models for computer vision
SUMMARY
Roboflow Universe grew from 50 open-source datasets at launch in August 2021 to over 90,000 datasets with 66 million labeled images and more than 7,000 pre-trained models available via API, covering object detection, segmentation, and image recognition across industries. Pre-trained models on Universe can
• 3 min read
Cinco de Mayo, Beer and Taco Dataset with Multi-Label Classification
SUMMARY
Multi-label classification lets a single model predict multiple classes per image simultaneously, making it a natural fit for scenes where counting or locating objects precisely is less important than knowing what is present. This post builds a taco and beer classifier by merging several Roboflow Universe datasets (including
• 1 min read
Art Recognition with a Computer Vision Model
Learn how to use computer vision to classify art styles.
• 6 min read
Identifying Chocolates With Computer Vision
Learn how to identify chocoaltes using computer vision technology.
• 4 min read
Using Computer Vision to Play Dreidel
As a brand new employee at Roboflow, I was asked to do a computer vision project. So I thought, why not combine a holiday I love so much, Chanukah, with something brand new in my life, Roboflow.
• 4 min read
AI Football Play Generator
SUMMARY
Scott Bronkema, a former college football player turned developer, built a computer vision application that automatically identifies player positions and formations at the pre-snap moment and tracks player routes throughout each play, outputting a digital playbook diagram. Built with Roboflow for model training and annotation plus OpenCV for
• 3 min read
We Raised a $20M Series A to Continue Democratizing Computer Vision
Today, Roboflow is excited to announce our $20 million Series A led by Craft Ventures to expand on our mission to give software the sense of sight. Lachy Groom, who co-led the seed with Craft, also participated in the round. Additionally, we welcomed new investment from leaders like Jack
• 2 min read
Launch: Model Assisted Labeling
SUMMARY
Roboflow Label Assist cuts annotation time by using your already-trained Roboflow models to pre-populate bounding boxes on new images, so annotators spend time only correcting errors rather than drawing every label from scratch. Public model support starting with 80 Microsoft COCO classes is included free on the
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