• 2 min read
Launch: Adjust Image Brightness and Contrast in Roboflow Annotate
In this guide, we show how to use the brightness and contrast adjustment features available in Roboflow Annotate.
• 5 min read
Auto-Label Classification Datasets Using CLIP
SUMMARY
OpenAI's CLIP model can auto-label image classification datasets by computing cosine similarity between image embeddings and text embeddings for each class name, then assigning the best-matching label. This tutorial walks through the full pipeline in a Jupyter notebook using the Roboflow Art Classification Dataset, covering
• 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.
• 6 min read
Leveraging Embeddings and Clustering Techniques in Computer Vision
Explore the world of image embeddings in computer vision, as we dive into clustering, dataset assessment, and detecting image duplication. Discover dimensionality reduction techniques like t-SNE and UMAP. Use CLIP embeddings for analyzing image class distribution and identifying similar images.
• 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.
• 4 min read
Launch: Label Data with Segment Anything in Roboflow
Learn how to label data with Segment Anything Model (SAM) in Roboflow.
• 5 min read
Synthetic Data Generation with NVIDIA and Roboflow
Learn how to build computer vision models that leverage synthetic data using NVIDIA Omniverse and Roboflow.
• 4 min read
How to Use Roboflow Models in CVAT
In this article, we show how to use public Roboflow models to speed up annotating in CVAT.
• 4 min read
Track and Count Objects Using YOLOv8
Counting moving objects is one of the most popular use cases in computer vision. It is used, among other things, in traffic analysis and as part of the automation of manufacturing processes. That is why understanding how to do it well is crucial for any CV engineer.
• 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.
• 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
• 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
• 7 min read
School Bus Detection Using YOLOv5 (Tutorial – Part 2)
Learn how to detect school buses using YOLOv5.
• 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
Launch: Smart Polygon Labeling
SUMMARY
Roboflow Annotate's Smart Polygon tool uses a machine learning model behind the scenes to generate a polygon label with a single click on an object, reducing what previously required many manual point placements to a near-instant operation. Precise polygon annotations are required for training instance segmentation
• 6 min read
Launch: Dataset Search
Learn how to search image datasets using Roboflow.
• 6 min read
Building Custom Computer Vision Models with NVIDIA TAO Toolkit and Roboflow
NVIDIA's TAO Toolkit provides a framework for fine-tuning popular computer vision models using your own data. In this tutorial, we'll be demonstrating how to use Roboflow to curate a high-quality computer vision dataset to use with NVIDIA's TAO Toolkit.
• 4 min read
Using Polygon Annotations for Object Detection in Computer Vision
SUMMARY
Polygon annotations improve object detection model training even when the model only outputs bounding boxes, because the extra shape data makes augmentations more accurate. Spatial transforms like rotation and cropping stay tightly fitted to the object with polygons, while bounding boxes pick up background pixels that dilute training signal.
• 3 min read
How to Use Polygon Annotation and Labeling with Roboflow
Polygons have traditionally been used for training image segmentation models, but they can also improve the training of object detection models. Object detection models are typically much faster and more widely supported, so they're still the best choice for solving many problems.
• 3 min read
Launch: Label Only Role-based Access Control
SUMMARY
Roboflow Annotate now supports role-based access control with a dedicated Labeler role, letting teams scale annotation work outside their organization without exposing project data. Labelers see only the images assigned to them in a Job, while Reviewers approve or reject submitted annotations and return failed batches for edits.
• 8 min read
Food Manufacturing Defect Detection with Lucky Charms
SUMMARY
This tutorial builds a computer vision system to detect and classify the eight types of Lucky Charms marshmallows (marbits) as a practical stand-in for food manufacturing quality control. Dataset labeling and preprocessing happen in Roboflow, and the post covers two training paths: Roboflow Train for a one-click
• 4 min read
Boxing Punch Detection Using Computer Vision
One of the best parts about joining Roboflow is doing a computer vision project in your first 2 weeks. As someone who loves to workout, I wanted to focus my project on a fitness related use case. I often mix boxing workouts into my routine, and thought it would be
• 5 min read
Improving Computer Vision Datasets and Models
Common tips and tricks to improve your computer or machine vision dataset, including using Roboflow Train and the Dataset Health Check tools.
• 8 min read
What is CVAT (Computer Vision Annotation Tool)?
Learn how to annotate images in CVAT, an open-source, web-based tool for labeling data for object detection, segmentation, classification, and other tasks.
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