• 11 min read
What is Active Learning? The Ultimate Guide.
In this guide, we discuss what active learning is, types of active learning, and walk through an example of active learning in practice.
• 8 min read
How to Build a Reading Assistant with AI
SUMMARY
This tutorial builds an interactive reading assistant that detects a finger pointing at a word on a page using an object detection model, reads the word using OCR, and then calls GPT-4 to pronounce it aloud, all wired together inside a Roboflow Workflow and run as a live
• 8 min read
What is the Open Images Dataset? A Deep Dive.
SUMMARY
Open Images V7, released by Google in 2022, contains over nine million annotated images spanning nearly 20,000 categories and supports six annotation types: image-level labels, bounding boxes, segmentation masks, visual relationships, localized narratives, and point-level labels. That breadth makes it one of the few public datasets
• 5 min read
How to Use GPT-4 To Extract Handwritten Text from Images
SUMMARY
This tutorial builds a pipeline that combines a custom object detection model trained in Roboflow with GPT-4 Vision inside a Roboflow Workflow to extract and structure handwritten information from homework booklets. The object detection model localizes handwritten marks, and GPT-4 Vision reads time and name fields, with
• 19 min read
How to Monitor Productivity with Eye Tracking
SUMMARY
This tutorial builds a real-time productivity tracker that uses a custom object detection model to monitor eye position, pupil movement, face presence, and phone usage via webcam, then logs distraction events over time. The model is trained in Roboflow on roughly 125 labeled images and deployed locally, where
• 15 min read
Predicting the Optimal Connect 4 Move with Computer Vision
SUMMARY
This tutorial builds a computer vision application that reads a physical Connect 4 board and recommends the optimal next move using the minimax algorithm. An object detection model is trained on an annotated Connect 4 dataset from Roboflow Universe, deployed via Roboflow, and used to parse the board state
• 8 min read
What is OpenCV? A Guide for Beginners.
Learn what OpenCV is, what you can do with OpenCV, how OpenCV performs on various tasks when run on CPU vs. GPU, and more.
• 5 min read
How to Use YOLO-World With Active Learning to Train a Custom Model
In this guide, we demonstrate an approach where we can start using the benefits of YOLO-World now, while simultaneously collecting data to train a faster custom model later.
• 9 min read
How to Train YOLOv9 on a Custom Dataset
Learn how to train a YOLOv9 model on a custom dataset.
• 6 min read
Launch: Train and Deploy YOLO-NAS Models on Roboflow
Learn how to train a YOLO-NAS model on Roboflow and host the model on your own hardware.
• 5 min read
How to Use Multiple Models to Label Datasets with Autodistill
In this guide, we cover the benefits of and how to combine multiple models in order to automatically label a dataset of images.
• 8 min read
How to Train a Custom YOLOv8 Pose Estimation Model
In this guide, we walk through how to train a custom YOLOv8 pose estimation model with your own dataset.
• 6 min read
Launch: Label, Train, Deploy Support for Keypoint Detection Models in Roboflow
Learn how to label data for and train keypoint detection models using Roboflow.
• 5 min read
How to Use FastViT
In this guide, we talk about what FastViT is and show how to experiment with FastViT using the autodistill-fastvit wrapper.
• 7 min read
Train a Computer Vision Model with AWS Rekognition Custom Labels
In this guide, you will learn how to train a computer vision model using AWS Rekognition Custom Labels.
• 6 min read
Label a Computer Vision Dataset with Azure Custom Vision
In this guide, you will learn how to label a dataset in Azure Custom Vision for use in training a computer vision model.
• 8 min read
Train a Computer Vision Model with Azure Custom Vision
In this guide, you will learn how to train a computer vision model using Azure Custom Vision.
• 8 min read
Train a Computer Vision Model with Vertex AI
In this guide, you will learn how to train a computer vision model with Vertex AI. You will also learn how to deploy an endpoint to test your model.
• 8 min read
Label Data, Train, and Deploy a Vision Model in One Command
In this guide, we show how to use the Autodistill command line interface to label data for, train, and deploy a computer vision model.
• 7 min read
What is Mask2Former? The Ultimate Guide.
In this guide, we discuss what Mask2Former is, how the model works, and how Mask2Former performs on various computer vision tasks.
• 8 min read
How to Train RTMDet on a Custom Dataset
Learn how to train a RTMDet computer vision model on a custom dataset.
• 7 min read
ChatGPT Code Interpreter for Computer Vision
In this article, we share the results of our experimentation with ChatGPT's code interpreter feature on various computer vision tasks.
• 4 min read
How to Train DETR on a Custom Dataset
Learn how to train a DETR model on a custom dataset.
• 6 min read
How to Train a YOLOv8 Classification Model
In this guide, we walk through how to train a classification model using YOLOv8 and a dataset hosted on Roboflow.
Stay Connected