--- title: Advanced SAM 3: Multi-Modal Prompting and Interactive... description: SAM 3 supports multi-modal prompting for image segmentation, combining text queries, bounding boxes, and point-based guidance. The tutorial demonstrates... canonical: https://daily.dev/posts/advanced-sam-3-multi-modal-prompting-and-interactive-segmentation-yvuojul3f twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation | daily.dev og:description: SAM 3 supports multi-modal prompting for image segmentation, combining text queries, bounding boxes, and point-based guidance. The tutorial demonstrates... og:url: https://daily.dev/posts/advanced-sam-3-multi-modal-prompting-and-interactive-segmentation-yvuojul3f og:image: https://api.daily.dev/og/posts/YvuOjUl3f.png og:image:alt: Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation **[PyImageSearch](https://daily.dev/sources/pyimagesearch)** · 34 min read · 0 upvotes · 0 comments ## Summary SAM 3 supports multi-modal prompting for image segmentation, combining text queries, bounding boxes, and point-based guidance. The tutorial demonstrates batched inference across multiple images, positive/negative region control, hybrid text-visual prompting, and interactive refinement workflows. Each technique includes complete code examples using the Hugging Face transformers library, showing how to process multiple prompts simultaneously, exclude unwanted regions, and enable real-time user-guided segmentation through drawing tools and click interfaces. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [SAM 3: Concept-Based Visual Understanding and Segmentation](https://daily.dev/posts/sam-3-concept-based-visual-understanding-and-segmentation-gwnb1xefs) · PyImageSearch · 2 upvotes · 0 comments - [SAM 3 for Video: Concept-Aware Segmentation and Object Tracking](https://daily.dev/posts/sam-3-for-video-concept-aware-segmentation-and-object-tracking-xitkyocg8) · PyImageSearch · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#computer-vision](https://daily.dev/tags/computer-vision), [#pytorch](https://daily.dev/tags/pytorch) [View this post on daily.dev](https://daily.dev/posts/advanced-sam-3-multi-modal-prompting-and-interactive-segmentation-yvuojul3f) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation","url":"https://daily.dev/posts/advanced-sam-3-multi-modal-prompting-and-interactive-segmentation-yvuojul3f","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/advanced-sam-3-multi-modal-prompting-and-interactive-segmentation-yvuojul3f"},"datePublished":"2026-02-02T13:54:48.892Z","dateModified":"2026-02-02T13:55:13.509Z","description":"SAM 3 supports multi-modal prompting for image segmentation, combining text queries, bounding boxes, and point-based guidance. 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