Use GPT-4 with Vision to Build Computer Vision Pipelines and Applications

Connect GPT-4 with Vision to other blocks to build a custom workflow.

Build a Workflow

16,000+ organizations build with Roboflow

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Model

GPT-4 with Vision

GPT-4 with Vision is a type of LMM.

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Build a Custom Vision AI Application

Connect pre-trained models, open source models, LLM APIs, advanced logic, and external applications. Deploy as an API endpoint, on-prem, or at the edge.

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Workflow Templates

Explore pre-made templates for specific use cases.

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Explore Popular Combinations Using GPT-4 with Vision

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How to Build a Workflow

Learn how to use a low-code open source platform to simplify building and deploying vision AI applications.

1

Choose a Block

Choose from 40+ pre-built blocks that let you use custom models, open source models, LLM APIs, pre-built logic, and external applications. Blocks can be models from OpenAI or Meta AI, applications like Google Sheets or Pager Duty, and logic like filtering or cropping.

2

Connect Blocks

Each block can receive inputs, execute code, and send outputs to the next block in your Workflow. You can use the drag-and-drop UI to configure connections and see the JSON definitions of what’s happening behind the scenes.

3

Deploy Workflows

You’ll receive an output of the final result from your Workflow and the format you want it delivered in, like JSON. Once your Workflow produces sufficient results, you can use the Workflow as a hosted API endpoint or self-host in your own cloud, on-prem, or at the edge.

Find Other Blocks in the Model Category

CogVLM

CogVLM is a type of LMM.

YOLOv8 Classification

YOLOv8 Classification is a type of Roboflow Classification Model.

YOLOv8 Keypoint Detection

YOLOv8 Keypoint Detection is a type of Roboflow Keypoint Detection Model.

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation is a type of Roboflow Instance Segmentation Model.

YOLOv8 Instance Segmentation

YOLOv8 Instance Segmentation is a type of Roboflow Instance Segmentation Model.

YOLOv5 Instance Segmentation

YOLOv5 Instance Segmentation is a type of Roboflow Instance Segmentation Model.

YOLOv5

YOLOv5 is a type of Roboflow Object Detection Model.

YOLO-NAS

YOLO-NAS is a type of Roboflow Object Detection Model.

YOLOv9

YOLOv9 is a type of Roboflow Object Detection Model.

YOLOv8

YOLOv8 is a type of Roboflow Object Detection Model.

QR Code Detector

Detect the location of QR codes in an image.

Barcode Detector

Run Optical Character Recognition on a model.

Roboflow Object Detection Model

Detect objects using an object detection model.

Roboflow Multi Label Classification Model

Run a multi-label classification model.

Roboflow Classification Model

Run a classification model.

Roboflow Keypoint Detection Model

Run inference on a keypoint detection model.

Roboflow Instance Segmentation Model

Run an instance segmentation model.

Yolo World Model

Run a zero-shot object detection model.

OCR Model

Run Optical Character Recognition on a model.

LMM For Classification

Run a large language model for classification.

LMM

Run a large language model.

Clip Comparison

Compare CLIP image and text embeddings.

Deploy Workflows at Scale

Roboflow powers millions of daily inferences for the world’s largest enterprises on-device and in the cloud

Deploy your Workflows directly on fully managed infrastructure through an infinitely-scalable API endpoint for high volume workloads

Run Workflows on-device, internet connection optional, without the headache of environment management, dependencies, and managing CUDA versions.

Isolate dependencies in your software by using the Python SDK or HTTP API to operate and maintain your Workflows separate from other logic within your codebase

Supported devices include ARM CPU, x86 CPU, NVIDIA GPU, and NVIDIA Jetson

Customize Your Pipeline

Connect models from OpenAI or Meta AI, applications like Slack or Pager Duty, and logic like filtering or cropping.

View All Blocks