• 12 min read
What is YOLOv8? A Complete Guide.
YOLOv8 is a computer vision model architecture that you can use for object detection, segmentation, keypoint detection, and more.
Blog
Jacob Solawetz
Founding Engineer @ Roboflow - ascending the 1/loss
Latest Posts by Jacob Solawetz
• 10 min read
How to Use Your GPU in a Docker Container
Learn how to use your GPU in a Docker container and measure upir application's performance.
• 11 min read
How to Detect Small Objects: A Guide
Learn how to detect small objects using SAHI with the Inference Slicer Python method, and using various pre-processing steps.
• 7 min read
What is YOLOv6? The Ultimate Guide.
In this guide, we discuss what YOLOv6 is, how the model works, and the architectural improvements made in YOLOv6 over its predecessors.
• 11 min read
What is YOLOv4? A Detailed Breakdown.
In this guide, we discuss what YOLOv4 is, the architecture of YOLOv4, and how the model performs.
• 7 min read
What is YOLOv7? A Complete Guide.
In this guide, we discuss what YOLOv7 is, how the model works, and the novel model architecture changes in YOLOv7.
• 9 min read
Scaling up ViT Image Classification on Gaudi2 HPUs
Training large image transformers comes with heavy compute requirements - enter the Gaudi2 from Habana Labs, an Intel company.
• 3 min read
CVPR 2023 Highlights
Three members of the Roboflow team attended CVPR this year. Read our highlights from the conference and what trends we noticed.
• 5 min read
What is Segment Anything Model (SAM)? A Breakdown.
Learn how Meta Research's new Segment Anything Model works to achieve high performance on image segmentation tasks.
• 4 min read
Preview: Roboflow + GPT-4
Roboflow and GPT-4 will be even more powerful when used in conjunction. In this post we preview some of the new features that will be coming to Roboflow in the coming weeks.
• 10 min read
Speculating on How GPT-4 Changes Computer Vision
OpenAI released GPT-4 showcasing strong multi-modal general AI capabilities in addition to impressive logical reasoning capability. Are general models going to obviate the need to label images and train models?
• 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.
• 5 min read
📸 Roboflow 100: A Multi-Domain Object Detection Benchmark
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.
• 3 min read
CVPR 2022 - Best Papers and Highlights
In this post, we take the opportunity to reflect on the computer vision research landscape at CVPR 2022 and highlight our favorite research papers and themes.
• 9 min read
Train and Deploy YOLOS Transformer On a Custom Dataset
In this post, we showcase training and deploying YOLOS end to end, from labeling your data, to training your model, to deploying your model on AWS for inference.
• 4 min read
What is Instance Segmentation? A Guide with Roboflow.
We are excited to release support for instance segmentation projects on Roboflow. Instance segmentation allows your computer vision model to know the specific outline of an object in an image, unlocking new use cases for Roboflow in your application.
• 6 min read
How to Train Detectron2 for Custom Instance Segmentation
A walk through on how to train Detectron2 to segment your custom objects from any image by providing our model with example training data.
• 7 min read
What is CVAT (Computer Vision Annotation Tool)?
Learn how to annotate images in CVAT, an open-source, web-based tool for labeling data for object detection, segmentation, classification, and other tasks.
• 3 min read
Introducing New and Improved Roboflow Train
Over the last year, thousands of custom computer vision models have been trained
with Roboflow Train [https://docs.roboflow.com/train] and millions of inferences
have been made via Roboflow Deploy [https://roboflow.com/deploy].
Recently, we took a big step back to incorporate advancements in computer vision
research and
• 3 min read
What to Think About When Choosing Model Sizes
When training any machine learning model, you must trade off inference speed for accuracy. Larger models with more parameters are uniformly more accurate, and smaller models with fewer parameters are uniformly faster to infer.
• 2 min read
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.
• 5 min read
SageMaker Studio Lab vs Google Colab
Recently, AWS released SageMaker Studio Lab, its competitor service to Google Colab. I dove into comparing Google Colab to Studio Lab and here is what I found.
• 1 min read
Introducing the Roboflow Inference Widget
Now, you can easily test any model that has been trained with Roboflow Train by dragging an image file onto your dataset version page.
• 5 min read
Florence: A New Foundation for Computer Vision
Microsoft Research recently released the foundational Florence model, setting the state of the art across a wide array of computer vision tasks.
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