gemini-vision

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.

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.

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.

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.

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.

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.