YoVDO

Image Annotation with LLaVA and Ollama

Offered By: Sam Witteveen via YouTube

Tags

Image Captioning Courses Machine Learning Courses Python Courses Computer Vision Courses GitHub Courses Data Processing Courses LLaVA Courses Ollama Courses

Course Description

Overview

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Explore image annotation techniques using LLava and Ollama in this 15-minute tutorial video. Learn the basic concept of image captioning and follow a step-by-step process to build an image annotation application. Discover how to retrieve file lists from folders, load files, utilize LLaVA 1.6 via Ollama for image processing, save results to a DataFrame, and export data to CSV. Gain practical insights through code demonstrations and access provided GitHub repositories for further exploration. Perfect for developers interested in implementing LLM agents and enhancing their skills in image processing and annotation.

Syllabus

Intro
Image Captioning
Basic Idea of the Image Captioning ap
Image Captioning Diagram
Step 1: Get the file list from a folder
Step 2: Loading the files
Step 3: Send the file to LLaVA 1.6 via Ollama
Step 4: Saving the results back tothe DataFrame
Step 5: Save the DataFrame to CSV
Code Time


Taught by

Sam Witteveen

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