Labeling

Top 7 Sports Datasets for Computer Vision Projects

Computer vision and image processing are used widely in sports to significantly influence athletes and team performance. Implementing computer vision techniques is a turning point in the transformation and development

School Bus Detection Using YOLOv5 (Tutorial – Part 2)

This is a guest post by Kristen Kehrer, Developer Advocate at CometML.  Since 2010, Kristen has been delivering innovative and actionable machine learning solutions across multiple industries, including the utilities,

Launch: Semantic Segmentation for Labeling, Training, Deployment

Roboflow now supports semantic segmentation projects end-to-end allowing you to use Roboflow Annotate to label data, Roboflow Train to build models, and Roboflow Deploy for inference. This release, alongside support

Launch: Smart Polygon Labeling

Roboflow Annotate now offers automated polygon labeling for all users. With as few as one click, you can apply a polygon annotation to objects in your datasets. Polygon annotations are

Launch: Dataset Search

Roboflow Annotate has been used to manage and label 90,000 datasets containing 66 million images and starting today you can now use text based search queries to better understand

Using Polygon Annotations for Object Detection in Computer Vision

Benefits to Existing ModelsPolygons have traditionally been used for training image segmentation models, but polygons can also improve the training of object detection models (which predict bounding boxes). Object detection

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.

Launch: Label Only Role-based Access Control

Roboflow Annotate has been used to label over 66 million images and teams have been able to label more images with our recent release of collaborative workflows for managing labeling

Detecting Lucky Charm Marshmallows Using Computer Vision - They're Mathematically Delicious

The marshmallows found in a box of Lucky Charms cereal, marbits as they were originally named by their creators Edward S. Olney and Howard S. Thurmon, are undoubtedly the best

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

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.

CVAT - Getting Started with Computer Vision Annotation Tool

DIY labeling with CVATCVAT is an OpenCV project that provides easy labeling for computer vision datasets. CVAT allows you to utilize an easy to use interface to make computer vision

Launch: Collaborative Annotations

Roboflow Annotate has become an essential tool used by tens of thousands of developers to label images of everything from planes to petri dishes. Since its launch just over a

Roboflow and Ultralytics Partner to Streamline YOLOv5 MLOps

We're proud to share that Roboflow has entered into a partnership agreement with Ultralytics, the creators of YOLOv5, and that Roboflow is now the official dataset management and annotation tool

5 Reasons to not Fully Outsource Labeling

So you're working on building a machine learning model, and you have hit the realization that you will need to annotate a lot of data to build a performant model. In the machine learning meta today, you will be bombarded with services offering to fully outsource your labeling woes.

For the People, By the People

Computer vision, on the whole, is an ambitious undertaking. We are developing technology that can see the world as we see it - to recognize simple objects like trees and

Building vs. Buying a Computer Vision Platform

“You could do what Roboflow does yourself but…why would you?”-Jack Clark, Co-Founder of Anthropic, former Policy Directory at OpenAI, It’s no secret that building a computer vision

Using videos as training data

Oftentimes, the visual data you'll want to analyze will come in the form of video. It may be security camera footage, YouTube videos, or webcam recordings. We know how to

How To Annotate Images with Your Team Using Roboflow

Dataset annotation is better with teams: you can move more quickly, keep everyone on the same page, track annotation progress, and easier provide examples of what the ultimate dataset should

Introducing Roboflow Annotate

Since we launched Roboflow in early 2020, our vision has always been to improve and streamline the workflow of computer vision projects so that developers can focus on the parts

How to Label Images for Computer Vision Models

This guide walks through tactics to ensure your dataset is as high quality as possible for computer vision tasks.

Getting Started with VGG Image Annotator for Object Detection Tutorial

Annotating your images is easy using the free, open source VGG Image Annotator. In this post we will walk through the steps necessary to get up and running with the

LabelMe Tutorial for Image and Video Annotation

In this post, we will walk through how to jumpstart your image annotation process using LabelMe, a free, open source labeling tool. To get started with LabelMe, we will walk

VoTT for Image Annotation and Labeling

A guide on using VoTT to label your own computer vision dataset.

LabelImg for Labeling Object Detection Data

Accurately labeled data is essential to successful machine learning, and computer vision is no exception. In this walkthrough, we’ll demonstrate how you can use LabelImg to get started with