gemini-vision

Analyze images with Gemini Vision for captions, classifications, and visual insights.

Updated Sep 16, 2025

Search Tags:#vision #gemini #segmentation #object-detection #image-understanding #computer-vision

Ready to run

npx skills add https://github.com/kienhaminh/speed-reader --skill gemini-vision-kienhaminh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gemini-vision
Source: https://github.com/kienhaminh/speed-reader/tree/main/.claude/skills/gemini-vision
Command: npx skills add https://github.com/kienhaminh/speed-reader --skill gemini-vision-kienhaminh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Quickly extract meaning from images using Gemini Vision: captions, classifications, visual QA, object detection, segmentation, and document understanding for images and PDFs.

Core Features & Use Cases

Image Captioning & Classification: Describe and categorize image content.
Visual QA: Answer questions about imagery.
Multi-Image Analysis: Compare up to thousands of images in batch scenarios.
Advanced Vision: Object detection and segmentation; document understanding for PDFs.

Quick Start

Install the Gemini Vision SDK and run sample Python scripts to analyze a local image.

Frequently Asked Questions about gemini-vision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze images using Gemini Vision to extract descriptions and classifications?▼

Gemini Vision analyzes images to produce descriptive captions, content classifications, and visual insights. It supports single and multi-image analysis, object detection with bounding boxes, segmentation, and visual question answering through the Gemini API with your authentication key.

Can Gemini Vision detect objects and perform image segmentation?▼

Yes. Object detection with bounding boxes is available on Gemini 2.0 and later models, while segmentation capabilities are available on Gemini 2.5 and later. Both features extract precise spatial information and visual structure from images.

What image formats and sources does Gemini Vision support?▼

Gemini Vision accepts image bytes, URLs, and file references. It also handles PDFs up to 1,000 pages for document understanding, enabling analysis of both standard image formats and multi-page documents in a single workflow.

How do I compare multiple images with Gemini Vision?▼

Multi-image analysis processes up to 3,600 images in batch scenarios for comparison and collective insights. This enables large-scale visual QA and comparative analysis across image sets without processing them individually.

What output formats does Gemini Vision provide?▼

Results are available in plain text, JSON, or markdown formats, allowing flexible integration with downstream systems, reports, and automation workflows that depend on structured or formatted vision analysis data.

Do I need to select between different Gemini models for vision tasks?▼

Yes. You can choose between gemini-2.5-pro and gemini-2.5-flash variants to balance capability depth and processing speed. Model selection affects available features like segmentation and object detection based on version.