How to Use an Image Captioning API

Automated image captioning can achieve human-level quality through computer vision, and this guide details how to deploy an image captioning API using CogVLM, a multimodal language model, and Roboflow Inference on personal infrastructure. The process involves setting up an Inference server with Docker, using an NVIDIA GPU like the T4, and following a step-by-step approach to install Roboflow Inference, start the server, and generate image captions programmatically. The guide emphasizes the need for a free Roboflow account and provides instructions for using Python code to prompt the CogVLM model to generate relevant captions. It highlights the scalability of CogVLM, which requires significant computational resources, and suggests cloud services like AWS or Google Cloud for deployment, illustrating the process with an example of generating captions for warehouse images.