deduplicate_images

Identify and extract a diverse subset of visually similar images using Jina CLIP v2 embeddings and submodular optimization. Ideal for reducing redundancy in image collections.

Instructions

Get top-k semantically unique images (URLs or base64-encoded) using Jina CLIP v2 embeddings and submodular optimization. Use this when you have many visually similar images and want the most diverse subset.

Input Schema

Name	Required	Description	Default
`images`	Yes	Array of image inputs to deduplicate. Each item can be either an HTTP(S) URL or a raw base64-encoded image string (without data URI prefix).
`k`	No	Number of unique images to return. If not provided, automatically finds optimal k by looking at diminishing return

Input Schema (JSON Schema)

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false,
  "properties": {
    "images": {
      "description": "Array of image inputs to deduplicate. Each item can be either an HTTP(S) URL or a raw base64-encoded image string (without data URI prefix).",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "k": {
      "description": "Number of unique images to return. If not provided, automatically finds optimal k by looking at diminishing return",
      "type": "number"
    }
  },
  "required": [
    "images"
  ],
  "type": "object"
}

Jina AI Remote MCP Server

deduplicate_images

Instructions

Input Schema

Input Schema (JSON Schema)

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