config.json

{
  "type": "app",
  "version": "2.0.0",
  "name": "Explore data with embeddings",
  "description": "Calculate and visualize embeddings",
  "entrypoint": "python -m uvicorn src.main:app --host 0.0.0.0 --port 8000",
  "docker_image": "supervisely/embeddings_app:1.0.8",
  "port": 8000,
  "icon": "https://user-images.githubusercontent.com/115161827/211832834-eef9325d-9e00-4499-ae42-2e7ee3d97f1a.png",
  "icon_cover": true,
  "poster": "https://user-images.githubusercontent.com/115161827/211832844-522b444d-4534-4b5e-bf12-14c7e7d3aeec.png",
  "categories": [
    "neural network",
    "images",
    "object detection",
    "semantic segmentation",
    "instance segmentation",
    "metric learning",
    "nn tools",
    "visualization",
    "exploration",
    "statistics",
    "visualization stats"
  ],
  "context_menu": {
    "target": ["images_project", "images_dataset"],
    "context_category": "Metric Learning"
  },
  "instance_version": "6.12.30",
  "need_gpu": false,
  "gpu": "preferred",
  "community_agent": false
}