• 5 min read
How to Moderate Video Content
Learn how to use the Roboflow Video Inference API to moderate video content.
Blog
James Gallagher
James is a technical writer at Roboflow, with experience writing documentation on how to train and use state-of-the-art computer vision models.
Latest Posts by James Gallagher
• 5 min read
How to Deploy Computer Vision Models Offline
In this guide, we walk through how to deploy computer vision models (i.e. YOLOv8) offline using Roboflow Inference.
• 4 min read
How to Blur People in Images and Videos with an API
In this guide, we show how to use the Roboflow Video Inference API and supervision to blur people in images and videos.
• 7 min read
Automatically Label Product SKUs with Autodistill
In this guide, we show how to automatically label product SKUs (with a manual review stage) using Autodistill.
• 5 min read
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.
• 5 min read
How to Load CLIP Image Embeddings into LanceDB
Learn how to calculate CLIP embeddings using Roboflow Inference and save them into LanceDB.
• 7 min read
GPT-4 Vision Alternatives
Explore alternatives to GPT-4 Vision with Large Multimodal Models such as Qwen-VL and CogVLM, and fine-tuned detection models.
• 4 min read
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.
• 5 min read
What is Object Recognition?
In this guide, we discuss what object recognition is, how it works, and how to start using object recognition to solve problems.
• 5 min read
What is Retrieval Augmented Generation?
Learn what Retrieval Augmented Generation (RAG) is, how it works, and how RAG can be used in computer vision applications.
• 5 min read
What is Zero-Shot Classification?
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.
• 6 min read
What is an Image Embedding?
Learn what image embeddings are and explore four use cases for embeddings: classifying images and video, clustering images, and image search.
• 4 min read
What is Zero-Shot Object Detection?
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.
• 4 min read
How to Use Roboflow with GPT-4 Vision
Explore ways you can use Roboflow with GPT-4 Vision to solve computer vision problems.
• 4 min read
Distilling GPT-4 for Classification with an API
In this guide, learn how to distill GPT-4V to train an image classification model.
• 4 min read
DINO-GPT4-V: Use GPT-4V in a Two-Stage Detection Model
In this guide, we introduce DINO-GPT4V, a model that uses Grounding DINO to detect general objects and GPT-4V to refine labels.
• 5 min read
How CLIP and GPT-4V Compare for Classification
In this post, we analyze how CLIP and GPT-4V compare for classification.
• 5 min read
Experiments with GPT-4V for Object Detection
See our experiments that explore GPT-4V's object detection capabilities.
• 8 min read
How to Detect Text in Images with OCR
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.
• 5 min read
Launch: Advanced Dataset Search Filters, Operators, and Logic
Learn how to use the new advanced dataset search filters, operators, and logic available in the Roboflow dataset management tool.
• 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.
• 4 min read
How to Run Computer Vision Models on RTSP Streams
Learn how to run computer vision models on frames from an RTSP camera.
• 6 min read
First Impressions with LLaVA-1.5
In this guide, we share our first impressions testing LLaVA-1.5.
• 6 min read
Deploy Computer Vision Models with Roboflow Inference and GCP
In this guide, we will walk through how to deploy computer vision models using GCP Compute Engineand Roboflow Inference.
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