{
  "name": "satellite-vision-toolkit",
  "version": "0.2.0",
  "description": "Classify land use and land cover, segment surface classes, and detect objects in satellite and aerial imagery.",
  "author": {
    "name": "Mingze Chen",
    "url": "https://github.com/LabMingzeChen"
  },
  "repository": "https://github.com/LabMingzeChen/SatelliteVisionToolkit",
  "license": "MIT",
  "keywords": ["satellite", "remote-sensing", "object-detection", "segmentation", "hugging-face"],
  "skills": "./skills/",
  "interface": {
    "displayName": "Satellite Vision Toolkit",
    "shortDescription": "Professional multi-level analysis for overhead imagery.",
    "longDescription": "Analyze satellite and aerial images with scene-level EuroSAT LULC classification, OpenEarthMap pixel segmentation, and remote-sensing object detection, then export visual, tabular, JSON, and pixel-coordinate evidence.",
    "developerName": "Mingze Chen",
    "category": "Developer Tools",
    "capabilities": ["Classify", "Analyze", "Export"],
    "defaultPrompt": [
      "Run a complete professional assessment of this satellite image.",
      "Classify the scene into land-use and land-cover categories.",
      "Segment land cover and detect supported objects.",
      "Explain the limits of these remote-sensing results."
    ]
  }
}