Roboflow Blog

19 Jan 2023 • 4 min read

How to Blur a Bounding Box in Python

Consider a scenario where you are building a model to detect cars on a street. If a car is parked on a street designated with no parking, you want to take a photo so that you can track the license plate of the car. But, taking a photo would include

19 Jan 2023 • 3 min read

How to Draw a Bounding Box Prediction Label with Python

In this article, we show how to use the cv2 library to draw bounding box prediction labels in Python.

18 Jan 2023 • 4 min read

Recap: Roboflow's 12 Days of #Shipmas

Team Roboflow decided to end 2022 strong and kick off 2023 with a bang by shipping 12 new features in 12 days. Updates were made to model-assisted labeling, model training, annotation tools, the REST API, Python SDK, and more.

17 Jan 2023 • 8 min read

Collective Communication in Distributed Systems with PyTorch

The full code for this article is on GitHub Today, we will explore the use of PyTorch's distributed collective communication feature. When working with multiple GPUs, it is necessary to share tensors across them, which is where torch.distributed comes in. It provides a set of APIs to

12 Jan 2023 • 10 min read

What is an Activation Function? A Complete Guide.

In this article, we discuss what an activation function is, why they are used, and what types of activation functions are commonly used.

10 Jan 2023 • 3 min read

Launch: YOLOv8 Models on Roboflow Universe

Pre-trained YOLOv8 models are available for testing and deployment on Roboflow Universe. Test and Deploy YOLOv8 Object Detection models in the app through the Models page.

10 Jan 2023 • 5 min read

Launch: Deploy YOLOv8 with Roboflow

In this tutorial, we show how to upload your own YOLOv8 model weights to deploy on the Roboflow platform.

10 Jan 2023 • 9 min read

How to Train YOLOv8 Object Detection on a Custom Dataset

In this article, we walk through how to train a YOLOv8 object detection model using a custom dataset.

9 Jan 2023 • 3 min read

Roboflow Collaborates with Intel to Deliver Next Generation Computer Vision Pipeline for Enterprises

Roboflow joined the Intel Disruptor Initiative to push the limits of innovation in real-world computer vision applications. Roboflow and Intel are working together to democratize access to computer vision by optimizing computer vision software pipelines to operate at the highest level of performance with Intel hardware. Collaborative Engineering and Technology

5 Jan 2023 • 9 min read

What Is Zero Shot Learning in Computer Vision?

In this article, we discuss what zero-shot learning is, how it works, and when zero-shot learning is and is not useful.

4 Jan 2023 • 4 min read

Launch: Version, Export, and Train Models in the Roboflow Python Package

In this article, we discuss the new version, export, and train model features in the Roboflow pip package.

4 Jan 2023 • 7 min read

How Artificial Intelligence is Influencing Video Production

In this article, learn how Artificial Intelligence is and could create more powerful tools for the video production industry to use.

3 Jan 2023 • 5 min read

Roboflow Changelog: December 2022

Each month, we share a recap of product and company updates. In this post, we detail Roboflow's updates from December 2022.

30 Dec 2022 • 5 min read

HPU vs GPU - Benchmarking the Frontier of AI Hardware

When you are training machine learning models, it is essential to pick hardware that optimizes your models performance relative to cost. In training, the name of the game is speed per epoch – how fast can your hardware run the calculations it needs to train your model on your data.

29 Dec 2022 • 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.

29 Dec 2022 • 11 min read

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

In this article, we're going to walk through how to detect concrete cracks using instance segmentation.

23 Dec 2022 • 5 min read

Intel Ice Lake vs Sapphire Rapids on AWS

This guide compares the Intel c6i Ice Lake and Sapphire Rapids AWS Instance against three other common AWS GPU instances.

22 Dec 2022 • 17 min read

Monitor Movement in Retail Stores with Computer Vision

In this article, we walk through how to monitor movement in areas of a retail store using computer vision

16 Dec 2022 • 4 min read

Launch: Collaborative Annotation Updates

Roboflow’s Collaborative Annotation and Label Only User features have helped over 100,000 users annotate more than 100 million images and today we are excited to share new updates that will help teams speed up their annotation and data management efforts even more. The Collaborative Annotation workflow makes managing

16 Dec 2022 • 6 min read

What is Semi-Supervised Learning? A Guide for Beginners.

In this post, we discuss what semi-supervised learning is and walk through the techniques used in semi-supervised learning.

15 Dec 2022 • 7 min read

Computer Vision Assisted Structural Damage Inspection Using Drones

In this post, Timothy Malche walks through how to inspect structural damage with computer vision and drones.

15 Dec 2022 • 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.

12 Dec 2022 • 3 min read

Launch: Roboflow Integration with Ultralytics HUB

Ultralytics, the creators of YOLOv5, and Roboflow now support an integration making it easier to import YOLOv5 models from HUB to Roboflow, export datasets to Ultralytics HUB from Roboflow, and use custom trained model weights for model-assisted data labeling in Roboflow. This integration builds on the established relationship of Roboflow

9 Dec 2022 • 4 min read

Track Football Players with Computer Vision

In this post, we use a YOLOv5 detection model and state-of-the-art tracker ByteTRACK to track football players.