VisionAgent

Meet VisionAgent: Your Visual AI Helper

VisionAgent, created by LandingAI, is a helpful tool designed to make building and launching visual AI apps much faster. It helps developers by creating multiple plans for a vision task, picking the best one, and providing all the necessary code, tools, and models. This way, developers can work on vision tasks in just minutes instead of weeks, speeding up the process significantly.

Key Features

Smart Model Selection

VisionAgent picks the best model for your task from a collection of effective open-source models. This ensures the most suitable model is used for your specific vision task.

AI-Powered Code Creation

With VisionAgent, you can get from a prompt to generated code in minutes. The platform lets you edit and test the code right away, making the development process simpler.

Easy Deployment

VisionAgent offers flexible deployment options. You can easily deploy code or quickly prototype by creating custom Streamlit apps. This makes it simple to test and share your vision-enabled applications.

VisionAgent Ecosystem

The VisionAgent ecosystem has three main parts:

1. VisionAgent Web App A hosted solution that lets users prototype, iterate, and deploy computer vision code without extensive setup. It provides an easy-to-use interface for uploading data, generating code, testing, and visualizing results.

2. VisionAgent Library This library helps users create code solutions for computer vision tasks using agent frameworks. It includes core functions like agent planning, tool selection, plan execution, code generation, and evaluation. The library also provides Python programming interfaces for configuring, running, and interacting with the agent locally.

3. VisionAgent Tools Library This library offers a suite of tool implementations designed to work with the VisionAgent framework. These tools are Python abstractions that wrap around models to accomplish specific tasks, such as object detection and image classification.

Deployment Options

VisionAgent offers several deployment methods to suit different workflows:

Hosted Deployment VisionAgent hosts the code file and generates Python and Shell scripts that you can run in your environment.

Test in the UI You can test the generated code directly within the VisionAgent interface using a drag-and-drop method.

Hosted Deployment Python and Shell This option allows you to deploy code as a hosted web API, with support for various data formats and content types.

Supported Data Formats

For deployment, VisionAgent supports the following data formats:

HTTP URL For remote images or videos.

File For local images or videos, with the content type set to multipart form data.

base64-encoded string For encoding image or video binary data.

Endpoint Lifecycle

The hosted endpoints are for prototyping and testing purposes and are available for 7 days. If you need to test the code after an endpoint has been deactivated, you can reactivate it by clicking the Deploy button again.

Endpoint Specifications

The hosted endpoints support various image and video types, with a maximum video file size of 64MB. Supported image types include PNG, JPEG, TIFF, HEIF, and other types supported by PIL. Supported video types include MP4, AVI, WEBM, and other types supported by OpenCV.

Use Cases

VisionAgent can be used for various industry-specific challenges, such as:

Safety Compliance Analyzing construction videos to detect PPE compliance and pinpoint incidents.

Incident Reports Generating reports based on visual data.

Production-Ready Code Building and deploying vision-enabled solutions tailored to specific needs.

By using VisionAgent, developers can build, customize, and deploy vision-enabled applications efficiently, all within a single platform.