Guides

How to uncover model errors with Labelbox Model

Explore how to perform model error analysis using Labelbox, with a specific focus on utilizing the Gallery View and Model Metrics.

Using Meta's Segment Anything (SAM) model on video with Labelbox's model-assisted labeling

Learn how to use Meta’s Segment Anything (SAM) model with YOLOv8 to automatically detect, classify, and draw masks on video.

Leveraging YOLO and Labelbox to make videos queryable by content

In this guide, we'll explore how to use YOLO and Labelbox Catalog together to make a dataset of unlabeled videos searchable.

Using Meta’s Segment Anything (SAM) model with YOLOv8 to automatically classify masks

Learn how to use Meta’s Segment Anything (SAM) model with YOLOv8 to automatically classify masks.

How to accelerate image-text pair generation with BLIP-2

Learn how to use BLIP-2-generated captions to create pre-labels for images so that a specialized workforce can further improve the image captions.

Automatically label text with 96%+ accuracy using foundation models

Learn how to automatically label text with 96%+ accuracy by leveraging Labelbox's search capabilities, bulk classification, and foundation models.

Automatically label images with 99% accuracy using foundation models

Automatically label images with 99% accuracy leveraging Labelbox's search capabilities, bulk classification, and foundation models.

Introducing Export V2: How to export data with more granular control

With Export V2, you can export your data with more granular control. Filter for specific data rows to export, configure the export to include or exclude information, and more.

How to create and label text layers from PDF documents for AI

Learn about the different types of PDF layers and how to import annotations to build robust AI models with contextual information from PDF documents.

How to fine-tune large language models (LLMs) with Labelbox

Learn how to iterate and rapidly fine-tune OpenAI large language models with Labelbox Model.