Learn how to use the Roboflow Video Inference API to moderate video content.

In this guide, we show how to use the Roboflow Video Inference API and supervision to blur people in images and videos.

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

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

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

In this post, we introduce the Roboflow Video Inference API, a hosted solution for running fine-tuned and foundation models on videos.

In this guide, we discuss what object recognition is, how it works, and how to start using object recognition to solve problems.

Learn what Retrieval Augmented Generation (RAG) is, how it works, and how RAG can be used in computer vision applications.

Learn what zero-shot classification is, what zero-shot classification is used for, and how to use zero-shot classification to solve computer vision problems.

Learn what image embeddings are and explore four use cases for embeddings: classifying images and video, clustering images, and image search.

Learn what zero-shot object detection is, applications for zero-shot object detection, and how to get started with Grounding DINO, a zero-shot model.

This guide shows how to use the Roboflow OCR API as part of a two-stage detection system that identifies regions of interest and reads text in them.

Learn how to run computer vision models on frames from an RTSP camera.

In this guide, we share our first impressions testing LLaVA-1.5.