Blog

10X faster uploads: Labelbox’s data ingestion upgrades and how to use them

Unleash the full potential of your data in Labelbox with 10x faster performance on large-scale data ingestion uploads.

How to accelerate time-to-value when building AI for retail and e-commerce

Discover tips and best practices for accelerating your time-to-value when building AI solutions for your retail and e-commerce business.

Why you should leverage foundation models for specialized AI applications

Discover the benefits of incorporating foundation models into your specialized AI application development workflow.

How to detect and extract personal information from datasets for AI

Learn to identify and remove personal identifiable information from data before it puts your AI and organization at risk.

Recapping CVPR 2023: Key takeaways from Labelbox

Discover the overarching key themes from the sessions, demos, and papers of CVPR 2023.

How to write more effective prompts for natural language search

Explore best practices for crafting successful prompts specifically for natural language searches.

Pre-label and enrich data with bulk classifications

Learn more about how to organize and automate data labeling with bulk classifications.

How vector similarity search works

Get a high-level introduction of how vector similarity search works and how it’s helping teams get access to information faster, including the main types of vector databases and use cases.

Utilizing Few-shot and Zero-shot learning with OpenAI embeddings

Learn how to utilize the latest advances in zero-shot and few-shot image classifications using OpenAI CLIP embeddings to better understand and curate your data.

Upload custom embeddings to find similar data, a new way to label video data, and more.

New in Labelbox: Upload custom embeddings, label video data with step interpolation, send model predictions to your labeling project, and more.