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DINO-X Image Detection MCP Server

object-detection-by-text

Detect and count objects in an image using a text prompt, providing detailed descriptions and 2D coordinates for precise visual analysis.

Instructions

Analyze an image based on a text prompt to identify and count specific objects, and return detailed descriptions of the objects and their 2D coordinates.

Input Schema

NameRequiredDescriptionDefault
imageFileUriYesURI of the input image. Preferred for remote or local files. Must start with "https://" or "file://".
includeDescriptionYesWhether to return a description of the objects detected in the image, but will take longer to process.
textPromptYesNouns of target objects (English only, avoid adjectives). Use periods to separate multiple categories (e.g., 'person.car.traffic light').

Input Schema (JSON Schema)

{ "properties": { "imageFileUri": { "description": "URI of the input image. Preferred for remote or local files. Must start with \"https://\" or \"file://\".", "type": "string" }, "includeDescription": { "description": "Whether to return a description of the objects detected in the image, but will take longer to process.", "type": "boolean" }, "textPrompt": { "description": "Nouns of target objects (English only, avoid adjectives). Use periods to separate multiple categories (e.g., 'person.car.traffic light').", "type": "string" } }, "required": [ "imageFileUri", "textPrompt", "includeDescription" ], "type": "object" }
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