How to Extract Material Information from Images Using AI Multimodal Techniques

1. Introduction

In today’s fast‑moving information technology landscape we constantly handle diverse data—text, images, audio, video. Multimodal file information extraction uses artificial intelligence to automatically mine hidden value from files containing multiple data types, dramatically reducing manual effort while boosting efficiency and accuracy.

This technology enables material recognition in images by employing deep‑learning algorithms trained on large datasets to distinguish textures, colors, and visual features, benefiting e‑commerce product verification, interior design material selection, and non‑contact analysis for cultural heritage preservation.

This article provides a practical tutorial for recognizing the material of objects in pictures, guiding readers to become “material‑identification masters”.

2. Practical Tutorial

Prepare the image to be analyzed and the relevant keywords, then follow the steps below.

Resource Deployment

Activate Bailei model service: Go to the Bailei console, obtain free quota, select API‑KEY in the top‑right corner, and create an API Key for calling the large model via API.

Create OSS object storage: Log into the OSS management console, create a bucket, and configure parameters as shown.

Create and deploy the default environment: Deploy the Function Compute application template and configure parameters according to the table.

Access Example Application

After deployment, locate the example site’s domain name in the environment details and open it.

Click the domain to launch the example application.

Use Official Example for Information Extraction

With keywords: the model extracts information based on the provided keywords.

Without keywords: the model automatically analyzes the image, which may yield varying results.

For production use, download the source code for further development:

https://atomgit.com/aliyun_solution/image-attr-information-extraction.git

Read the original article for a deeper experience:

https://developer.aliyun.com/topic/dec/cv?utm_content=g_1000400290