Dataset Management

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.

How to Make Multiplayer Rock, Paper, Scissors with AI

This is a template for making multiplayer games that involve your hands and body using AI or computer vision. You can even submit new games to the repo and I

How to Create a Workout Pose Correction Tool

0:00 /0:21 1× Introduction Computer vision is a useful tool when it comes to understanding and quantifying real-world activity happening in real-time. Tracking human movements with pose estimation

How to Import Hugging Face Datasets to Roboflow

Learn how to import a Hugging Face dataset into Roboflow for labeling, training, and deployment.

What is the Open Images Dataset? A Deep Dive.

The Open Images Dataset was released by Google in 2016, and it is one of the largest and most diverse collections of labeled images. Since then, Google has regularly updated

How to Train RT-DETR on a Custom Dataset with Transformers

RT-DETR, short for "Real-Time DEtection TRansformer", is a computer vision model developed by Peking University and Baidu. In their paper, "DETRs Beat YOLOs on Real-time Object Detection&

Import Images from Databricks to Roboflow

Upload image data from Databricks SQL warehouse into Roboflow for training custom computer vision models.

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.

Build Enterprise Datasets with CLIP for Multimodal Model Training Using Intel Gaudi2 HPUs

In this guide, learn how to use CLIP on Intel Gaudi2 HPUs to deduplicate datasets before training large multimodal vision models.

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.

How to Verify Label Placement on Packages

Learn how to build a system to verify label placement on packages using computer vision.

How to Analyze a Folder of Videos from Google Cloud Platform

In this guide, we walk through how to analyze videos stored in Google Cloud Storage with computer vision models.

How to Use the Segment Anything Model (SAM)

Segment Anything (SAM) is a computer vision model developed by Meta AI. In this guide, you will learn how to use SAM on your own data.

Launch: Model Prompting for Automated Labeling with Autodistill

In this guide, learn how to use the Roboflow automated image labeling feature to label images in your computer vision datasets.

How to Analyze a Folder of Videos from AWS S3

In this guide, learn how to analyze a folder of images with machine learning models using data stored in an AWS S3 bucket.

How to Label Outdoor Surveillance Data for Computer Vision Models

In this guide, learn how to effectively label outdoor surveillance data for use in training computer vision models.

How to Label Floor Plan Data for Computer Vision Models

In this guide, learn how to effectively label floor plan data for use in training computer vision models.

How to Label Sports Data for Computer Vision Models

In this guide, we discuss tips on how to effectively label sports data for use in training computer vision models.

How to Label Image Data for Computer Vision Models

This guide discusses what image labeling is and how to effectively label images for use in training computer vision models.

Detecting Complex and Amorphous Features of Marine Sponges

In this post, Andy Portalatin describes work done for his master's thesis toward detecting complex and amorphous features of marine sponges.

How to Use Grounded EdgeSAM

Learn how to use Grounded EdgeSAM to auto-label data for use in training an image segmentation model.

Automatically Label Product SKUs with Autodistill

In this guide, we show how to automatically label product SKUs (with a manual review stage) using Autodistill.

How to Load Image Embeddings into Pinecone

In this guide, learn how to calculate CLIP embeddings with Roboflow Inference and save the results in a Pinecone vector database.

How to Load CLIP Image Embeddings into LanceDB

Learn how to calculate CLIP embeddings using Roboflow Inference and save them into LanceDB.

How to Search Video Frames with Roboflow

Build a search engine that lets you find frames in a video with text queries using Roboflow Inference.