Dataset

Roboflow 100 📸

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.

Top 6 Gaming Datasets for Computer Vision Projects

Today's article will show you the top 6 gaming datasets from Roboflow Universe to help provide inspiration for using video games or real world games with computer vision applications. Using

Top 6 Agriculture Datasets for Computer Vision

The ability of computer vision applications to address various business challenges makes it one of the most exciting technologies available today. Computer vision use cases in agriculture are in high

Top 6 Manufacturing Datasets for Computer Vision

Manufacturing is an industry that has found many successful use cases and applications for computer vision. Vision AI helps avoid increases worker safety, decreases human error, and saves time automating

Launch: Cloning Images from Open Source Datasets

Since its launch in August 2021, Roboflow Universe has become the largest collection of open source datasets and pre-trained computer vision models. Our goal is to democratize access to computer

How to Use S3 in Your Computer Vision Pipeline

AWS S3 is a cloud storage service that can be used to store and share data. Roboflow is an end-to-end computer vision platform that allows users to annotate and label

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

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.

Open source datasets and pre-trained models for computer vision

90,000 Datasets and 7,000 Pre-trained Models AvailableRoboflow Universe launched in August 2021 with 50 open source datasets and opened our computer vision infrastructure products for free with a

Convert Annotation Formats EASY (26 available Formats 😱)

Computer vision datasets come in a wide variety of formats, and sometimes they’re less than ideal. Roboflow solves this problem by offering 26 annotations formats for dataset uploading and

How to Train Computer Vision Models on Aerial Imagery

Aerial imagery are images taken from aircrafts like drones, planes, and helicopters. With these images we can train a model to detect objects like fires, buildings, solar panels, rooftops, maritime

Introducing the Roboflow Universe Dataset Research Internship

We are seeking an intern who would be interested in first-authoring the paper that introduces the Roboflow Universe Datasets.

How I Used Computer Vision to Make Sense of My Fridge

As part of a groupwork for a postgraduate applied AI at Erasmus Brussels we made an object detection model to identify ingredients in a fridge.

Using Computer Vision to Accelerate Microbiology Research and Combat Antibiotic Resistance

Michael Shamash is a Master’s student in the Maurice Lab at Canada's McGill University. Michael used Roboflow to streamline the production of a model and iOS app for use in microbiology.

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.

Solving the Out of Scope Problem

When we are teaching a machine learning model to recognize items of interest, we often take a laser focus towards gathering a dataset that is representative of the task we want our algorithm to master.

An Introduction to ImageNet

The ImageNet dataset is long-standing landmark in computer vision. The impact ImageNet has had on computer vision research is driven by the dataset's size and semantic diversity. Let's dive into

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 Computer Vision to Detect Package Deliveries

This post is a guest post written by Brian Egge. Brian works in finance, though this is a personal project. Many households are getting more packages delivered than ever before.

Football, Kaggle, Roboflow: Using Computer Vision to Tackle Helmet Safety

If you're searching for a dataset to use or are looking to improve your data science modeling skills, Kaggle is a great resource for free data and for competitions. For

Apple's M1 is up to 3.6x as fast at training machine learning models

We compared the Apple M1 chip to the Intel Core i5 chip on an object detection task using Create ML.

Share Your Datasets with the Computer Vision Community

Computer vision problems start with finding high quality image datasets. Fortunately, access to common image data is increasingly easier. Datasets like Microsoft's COCO dataset and the Pascal VOC dataset provide

An Introduction to the COCO Dataset

The computer vision research community benchmarks new models and enhancements to existing models to test model performance. Benchmarking happens using standard datasets which can be used across models. With this

Introducing an Improved Shear Augmentation

Today, we introduce a new and improved shear augmentation. We'll walk through some details on the change, as well as some intuition and results backing up our reasoning.

What is a Label Map?

In this post, we will demystify the label map by discussing the role that it plays in the computer vision annotation process. Then we will get hands on with some real life examples using a label map.