Roboflow Blog

19 Jan 2021 • 4 min read

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. In my neighborhood the delivery drivers don’t ring the doorbell or announce they’ve dropped a package off. Many

17 Jan 2021 • 2 min read

Teams for All: Create Free Teams on Roboflow

Machine learning is a team sport, and getting a computer vision model to production is no exception. All parts of the process are improved with a team: collecting data from multiple sources; annotating data with colleagues; sharing versioned datasets; and using deployed models. We're pleased to introduce free

13 Jan 2021 • 4 min read

A Primer on Transfer Learning

Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other related problems. It’s very similar to the concept of reusing code in computer programming, except instead of sharing code between different applications or software projects, we’

12 Jan 2021 • 2 min read

Announcing Roboflow’s Seed Round

Computer vision is a generational technology. Like the PC, internet, and mobile phones, computer vision’s impact will reshape every industry. In transportation, for example, the advent of machine vision gives rise to self-driving cars, rewiring how we navigate the world around us. Manufacturing companies are finding and reducing visual

8 Jan 2021 • 5 min read

How to Try CLIP: OpenAI's Zero-Shot Image Classifier

Earlier this week, OpenAI dropped a bomb on the computer vision world.

6 Jan 2021 • 3 min read

Using the Upload API to Collect Images from the Wild

The key to production quality machine learning models is continuous iteration and improvement. The first step is getting a model that is "good enough" for your first version. But once you deploy to the real world you'll invariably find edge cases that confuse your model. Collecting

6 Jan 2021 • 4 min read

Using Public Datasets to Improve your Computer Vision Models

Ok, so you've trained a model and it's not doing as well as you'd hoped. Now what? You could experiment with augmentation, try a different architecture, or check your training data for errors. But what if those all fail? Oftentimes, the single most impactful

4 Jan 2021 • 2 min read

Introducing the Object Count Histogram

We are excited to announce the introduction of object count histograms, now available in the Roboflow dataset health check.

4 Jan 2021 • 5 min read

Using Computer Vision to Boost Cities' Efficiency by Reallocating Police Resources

The below post is a guest post written by data scientist Joseph Rosenblum. He is using computer vision to make cities more efficient and decrease the bias in traffic-related policing. (He is open to new opportunities!) Municipalities today are cash-strapped, with $360 billion in losses expected between 2020 and 2022

3 Jan 2021 • 2 min read

Roboflow Changelog: January 2021

Welcome to our monthly changelog where we catalog our recent feature additions and improvements. If you missed it, you can find last month's changelog here. This month we launched Roboflow Annotate, an integrated image annotation tool included in all Roboflow plans. In the first few weeks, over 1500

28 Dec 2020 • 5 min read

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 example, there's currently an open Kaggle competition detecting American football helmet impacts (crashes) in which you

28 Dec 2020 • 2 min read

Get a Hosted API for your Object Detection Model

Roboflow provides tools for labeling, organizing, and training a computer vision model. Once you finish running one of the Jupyter notebooks from our Computer Vision tutorials you can download a weights file optimized for making predictions on your custom dataset. The Current State of Affairs But what next? How do

25 Dec 2020 • 3 min read

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 look like. In this post, we'll walkthrough an example workflow of annotating data with your team using Roboflow

21 Dec 2020 • 4 min read

Tackling the Internet of Things with Roboflow: Object Detection Apps on Android

Joo chan Kim, PhD student, is developing an object detection application for Android devices that can identify specific IoT sensors by using a custom detection model.

15 Dec 2020 • 5 min read

How to Train Scaled-YOLOv4 to Detect Custom Objects

Object detection technology advances with the release of Scaled-YOLOv4. This blog is written to help you apply Scaled-YOLOv4 to your custom object detection task, to detect any object in the world, given the right training data.

15 Dec 2020 • 4 min read

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.

9 Dec 2020 • 2 min read

Unveiling Our New Limited Edition T-Shirt

A huge benefit of working for Roboflow is interacting with all the builders and creators using our platform. Every day, Roboflow users are experimenting with computer vision to solve fascinating problems and we're always impressed with their creativity. We especially love it when we can feature their work

8 Dec 2020 • 2 min read

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 of their project that are unique, not on reinventing the wheel. But there's been one part of the

6 Dec 2020 • 1 min read

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 a standard for common objects and measuring the efficacy of state-of-the-art computer vision models (like Scaled-YOLOv4, PP-YOLO, YOLOv4,

4 Dec 2020 • 1 min read

Roboflow Changelog: December 2020

Welcome to the first of our monthly changelogs, where we will be cataloging our recent feature additions and improvements. Roboflow Organize * Added ability to rebalance train/test split * Clarified pro plan features in-app * Sped up thumbnail generation * Added image upload by URL to the upload API * Paginated the image listing

3 Dec 2020 • 8 min read

Scaled-YOLOv4 is Now the Best Model for Object Detection

(based on Microsoft COCO benchmarks) The object detection space remains white hot with the recent publication of Scaled-YOLOv4, establishing a new state of the art in object detection. Looking to train a Scaled-YOLOv4 model? Skip this post and jump straight to our Scaled-YOLOv4 training tutorial. You'll have a

30 Nov 2020 • 5 min read

How to Run Jupyter Notebooks on an Apple M1 Mac

Learn how to run Jupyter Notebooks on Apple M1 Macbooks.

30 Nov 2020 • 3 min read

Generating Renaissance Art with Computer Vision

The below post is a guest post written by Samay Lakhani and Sujay Sundar, two budding data scientists. Samay currently interns with a Silicon Valley tech company; Sujay currently does research under the mentorship of a CUNY Staten Island neuroscience professor. Both are sophomores at Jericho High School, showing that

20 Nov 2020 • 2 min read

Revamping Train, Validation, Test, Split Management

Splitting data into train, validation, and test splits is essential to building good computer vision models. Today, we are announcing in-app changes to Roboflow that make it even easier to manage your train test splits as you are working through the computer vision workflow.