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How to Detect Objects with YOLOv8
Learn how to detect objects with YOLOv8 using pre-trained and custom-trained object detection models.
• 4 min read
Use Cases for Computer Vision in Analytics
Learn how to use computer vision in your data analytics pipelines.
• 5 min read
How to Moderate Video Content
Learn how to use the Roboflow Video Inference API to moderate video content.
• 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.
• 3 min read
Multimodal Maestro: Advanced LMM Prompting
Learn how to expand the range of LMMs' capabilities using Multimodal Maestro
• 6 min read
Computer Vision in Manufacturing: Three Applications From Field Experience
In this article, we explore three applications of computer vision in the manufacturing industry, written by an expert with field experience.
• 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.
• 3 min read
Roboflow Video Inference with Custom Annotators
SUMMARY
This tutorial builds a video inference pipeline for logistics monitoring by loading a pre-trained object detection model from Roboflow Universe and running it frame-by-frame on a warehouse video. Custom visual overlays including bounding boxes, class labels, and object tracking are applied to each frame using the
• 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.
• 5 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.
• 6 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.
• 5 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.
• 6 min read
How to Use MetaCLIP
Learn what MetaCLIP is, how the model performs on benchmarks, and how to use MetaCLIP.
• 4 min read
How to Provide Detailed Labeling Instructions to Outsourced Labelers
In this guide, we walk through a few tips and best practices showing how to provide detailed, useful labeling instructions to outsourced labelers.
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