• 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-
• 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.
• 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
• 4 min read
Roboflow Changelog: October 2022
Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from October 2022.
• 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: Cloning Images from Open Source Datasets
SUMMARY
Roboflow Universe now lets you clone any of its 100+ million open source images directly into your own Roboflow project, with or without their existing annotations. This removes one of the biggest time sinks in computer vision development: sourcing labeled training data from scratch. You can filter by object
• 3 min read
Launch: Use YouTube Videos for Training Data and Inference Testing
SUMMARY
Roboflow now accepts YouTube video URLs directly as an upload source, letting you sample frames from any of YouTube's 800+ million videos to build or expand a computer vision training dataset without downloading files manually. The same feature works in reverse: you can paste a YouTube URL
• 4 min read
Roboflow Changelog: September 2022
Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from September 2022.
• 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
• 2 min read
Launch: Test Computer Vision Models Locally
SUMMARY
Roboflow Inference can now run locally on a development machine via a single npx command, with no CUDA installation or Docker setup required. Any 64-bit Intel, AMD, or Arm CPU (including M1 Macs and Raspberry Pi 4) can host the inference server on port 9001, and any pre-
• 4 min read
Roboflow Changelog: July & August 2022
Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from July and August 2022.
• 6 min read
Launch: Dataset Search
Learn how to search image datasets using Roboflow.
• 4 min read
Deploy a Computer Vision Model: A How-To Guide
SUMMARY
The Roboflow Deploy tab centralizes the options for getting a trained computer vision model into use without writing boilerplate for each target: it supports drag-and-drop inference on images and video files, live webcam inference in the browser, URL-based inference, and copy-paste code snippets for the
• 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: Search Datasets and Assign Jobs
SUMMARY
Roboflow Annotate now includes a semantic image search that lets teams find unlabeled images by describing their contents in plain text, without any prior labeling or categorization of those images. The search uses natural language processing and computer vision models to index image contents from pixel data, so queries
• 2 min read
Roboflow Changelog: May & June 2022
Each month, we share a recap of product and company updates. Here's what's new for May and June in 2022!
• 3 min read
Launch: Roboflow Native iOS SDK
Constrained bandwith? Left without the option to extend production data beyond your local network or corporate firewall? In need of real-time inference speeds on the edge? The Roboflow Mobile iOS SDK is a great option if you are developing an iOS application.
• 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
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.
• 3 min read
Roboflow Now Available in the Microsoft Azure Marketplace
SUMMARY
Roboflow is now listed in the Microsoft Azure Marketplace, giving Azure customers a direct path to purchase and integrate Roboflow's computer vision platform alongside their existing cloud infrastructure. Teams already storing images and video in Azure Blob Storage can connect that data to Roboflow's annotation,
• 2 min read
Launch: Instance Segmentation Project Training and Inference
SUMMARY
Roboflow now supports instance segmentation project training and inference natively on the platform, letting teams train directly from a pre-trained COCO checkpoint without writing training code. Instance segmentation produces per-object outlines rather than just bounding boxes, making it the right choice when downstream tasks require measuring object
• 4 min read
Launch: Roboflow OAK pip package
roboflowoak pip package lets you natively interface with your Roboflow workspace through Python scripts and deploy to an OAK device.
• 5 min read
Roboflow’s Python Pip Package For Computer Vision
Regardless of whether your project is a new product line, a new industrial production system, a research project, or a personal one to help you learn what computer vision is all about, you'll want to add "pip install roboflow" to your code - and here's why.
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