dataset_stats.json

{
  "num_images_total": 10,
  "num_images": {
    "train": 8,
    "val": 2
  },
  "num_categories": 9,
  "categories": [
    {
      "id": 1,
      "name": "button"
    },
    {
      "id": 2,
      "name": "input"
    },
    {
      "id": 3,
      "name": "dropdown"
    },
    {
      "id": 4,
      "name": "checkbox"
    },
    {
      "id": 5,
      "name": "icon"
    },
    {
      "id": 6,
      "name": "image"
    },
    {
      "id": 7,
      "name": "text"
    },
    {
      "id": 8,
      "name": "card"
    },
    {
      "id": 9,
      "name": "navbar"
    }
  ],
  "objects_total": 624,
  "objects_by_class": {
    "text": 256,
    "navbar": 11,
    "image": 33,
    "icon": 225,
    "input": 5,
    "button": 77,
    "checkbox": 1,
    "card": 11,
    "dropdown": 5
  },
  "objects_by_split": {
    "train": {
      "text": 237,
      "navbar": 10,
      "image": 23,
      "icon": 183,
      "input": 3,
      "button": 26,
      "checkbox": 1,
      "card": 5
    },
    "val": {
      "icon": 42,
      "button": 51,
      "input": 2,
      "text": 19,
      "image": 10,
      "navbar": 1,
      "card": 6,
      "dropdown": 5
    }
  },
  "note": "If you have only ~10 images, treat training as pipeline demo, not as final quality measurement."
}