Posts Tagged Modeling

View posts tagged with the Modeling tag on the Roboflow Blog.

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.

How to Use Computer Vision for Environment Monitoring

This article was contributed to the Roboflow blog by Abirami Vina. Measuring changes to our environment is an important part of understanding progress made toward a more sustainable world. Historically,

Detect and Segment Oil Spills Using Computer Vision

The article below was contributed by Timothy Malche, an assistant professor in the Department of Computer Applications at Manipal University Jaipur. Introduction An oil spill in the sea is a

Improve Accuracy: Polygon Annotations for Object Detection

In this blog post, we will explore how you can improve your object detection model performance by converting your bounding box annotations to polygon annotations. We will also discuss the

CVPR 2023 Highlights

Three members of the Roboflow team attended CVPR this year. Read our highlights from the conference and what trends we noticed.

How to Train DETR on a Custom Dataset

DETR stands out from traditional object detection models due to its unique architecture and approach. Unlike other models that rely on anchor boxes or region proposal networks, DETR formulates object

Launch: Evaluate Computer Vision Models on Roboflow

In this guide, we walk through how to evaluate computer vision models hosted on Roboflow using our in-app model evaluation tool.

How to Evaluate Computer Vision Models with CVevals

Learn how to calculate precision, recall, f1, and confusion matrices for your computer vision models with CVevals.

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.

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?

How To Train SegFormer on a Custom Dataset

In this post, we will walk through how to train SegFormer on a custom dataset using Pytorch Lightning to classify every pixel in an image.

What is YOLOv7? A Complete Guide.

In this post, we break down the internals of how YOLOv7 works and the novel research involved in its construction.

How to Train a YOLOv7 Model on a Custom Dataset

Hot on the heels of MT-YOLOv6, a new YOLO dropped this week (and this one is a doozy). YOLOv7 was created by WongKinYiu and AlexeyAB, the creators of YOLOv4 Darknet

What is YOLOv6? A Beginner's Guide.

In this blog, we give a rundown of the changes made in YOLOv6 and our initial assessments of the new network and repository.

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.

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.

Launch: Instance Segmentation Project Training and Inference

What Is Instance Segmentation? Instance segmentation [], also known as image segmentation, is the computer vision task of recognizing objects in images along with their associated

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.

Introducing New and Improved Roboflow Train

Over the last year, thousands of custom computer vision models have been trained with Roboflow Train [] and millions of inferences have been made via Roboflow

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.

What is YOLOS? What's New in the Model?

YOLOS - You Only Look At One Sequence is the newest, and potentially most impactful, iteration on the YOLO family of object detection models.

YOLOv5 v6.0 is here - new Nano model at 1666 FPS

With the v6.0 release, YOLOv5 further solidifies its position as the leading object detection model and repository.

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

What is PaddlePaddle?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us [

What is PyTorch?

"ML in a Minute" is our conversational series on answering machine learning questions. Have questions you want answered? Tweet at us [