{
  "timestamp_utc": "2026-10-08T23:27:38.711801+00:00",
  "dataset_version": "original-controlled-fixtures-v1",
  "real_inference": true,
  "fictional_data_only": true,
  "case_count": 1,
  "completed": 1,
  "metrics": {
    "count_correct": {
      "passed": 1,
      "total": 1
    }
  },
  "cases": [
    {
      "id": "studio",
      "completed": true,
      "measurements": {
        "expected_count": 9,
        "predicted_count": 9,
        "count_correct": true
      },
      "elapsed_seconds": 11.238,
      "result": {
        "model": "YOLO26s / COCO pretrained",
        "detections": [
          {
            "id": "1",
            "label": "potted plant",
            "bbox": [
              1031.85,
              614.75,
              457.92,
              345.79
            ],
            "score": 0.912,
            "source": "model"
          },
          {
            "id": "2",
            "label": "potted plant",
            "bbox": [
              640.71,
              401.12,
              234.41,
              298.01
            ],
            "score": 0.9024,
            "source": "model"
          },
          {
            "id": "3",
            "label": "potted plant",
            "bbox": [
              983.42,
              99.82,
              313.72,
              339.53
            ],
            "score": 0.8923,
            "source": "model"
          },
          {
            "id": "4",
            "label": "potted plant",
            "bbox": [
              239.82,
              75.05,
              254.52,
              345.08
            ],
            "score": 0.8914,
            "source": "model"
          },
          {
            "id": "5",
            "label": "potted plant",
            "bbox": [
              127.1,
              611.95,
              306.46,
              349.03
            ],
            "score": 0.8777,
            "source": "model"
          },
          {
            "id": "6",
            "label": "potted plant",
            "bbox": [
              572.21,
              23.93,
              353.67,
              407.27
            ],
            "score": 0.8654,
            "source": "model"
          },
          {
            "id": "7",
            "label": "potted plant",
            "bbox": [
              120.07,
              342.91,
              407.99,
              312.54
            ],
            "score": 0.8457,
            "source": "model"
          },
          {
            "id": "8",
            "label": "potted plant",
            "bbox": [
              642.88,
              636.58,
              244.16,
              323.47
            ],
            "score": 0.8364,
            "source": "model"
          },
          {
            "id": "9",
            "label": "potted plant",
            "bbox": [
              1064.93,
              332.93,
              291.87,
              323.14
            ],
            "score": 0.7948,
            "source": "model"
          }
        ],
        "image_size": [
          1536,
          1024
        ],
        "predicted_count": 9,
        "overlay": "overlay.png",
        "inference_seconds": 1.502,
        "device": "cuda",
        "notice": "Counts visible detected instances only. Verify missed, duplicate or partially occluded objects before accepting inventory.",
        "execution_mode": "connected"
      }
    }
  ],
  "environment": {
    "gpu": "NVIDIA GeForce RTX 4070 Laptop GPU / 8 GB",
    "execution": "Fresh local inference with existing weights, isolated worker subprocesses"
  },
  "latency": {
    "median_case_seconds": 11.238,
    "p95_case_seconds": 11.238,
    "includes": "Full HTTP run, including model loading and OCR where applicable."
  },
  "limits": "Small original synthetic scenarios. No customer data or production-accuracy claims. Inspection calibration and held-out seeds are separate but share a procedural generator. Counting/labeling each evaluate one AI-generated scene; mask-output checks are structural, not mask-quality ground truth."
}