The Gemini API is a powerful tool for processing images and videos, enabling a wide range of applications for developers. Some of its key vision capabilities include:
- Generating captions and answering questions based on images
- Extracting information from PDFs, including long documents up to 2 million tokens
- Describing, segmenting, and analyzing videos, including both visual and audio data, up to 90 minutes long
- Detecting objects in an image and returning bounding box coordinates
This notebook provides a hands-on demonstration of how to leverage the Gemini API for image and video processing, including code examples, best practices, and multimodal AI integration.
The Gemini API is a powerful and versatile tool for multimodal AI, allowing developers to process text, images, videos, and documents seamlessly.
Throughout this notebook, we have explored various vision and video capabilities, demonstrating how Gemini API can analyze, summarize, and extract insights from multimedia content.
| Feature | Description |
|---|---|
| 🔹 Image Processing | Upload, caption, and analyze images using Gemini’s vision model. |
| 🔹 Object Detection | Retrieve bounding boxes for objects in images and scale them to original dimensions. |
| 🔹 Image-Based Q&A | Ask questions about the content of images and generate detailed descriptions. |
| 🔹 Handling Large Files | Use the File API to upload and manage large datasets efficiently (up to 2GB per file). |
| 🔹 Video Analysis | Extract insights, transcribe, and describe visual elements from videos. |
| 🔹 Timestamp-Based Queries | Retrieve key insights from specific moments (MM:SS) in a video. |
| 🔹 File Management | List, track, and delete uploaded files programmatically. |