{
  "title": "Ground robotics",
  "status": "Illustrative annotation draft",
  "authoring": "Agent-authored editorial example; not human-approved training labels, a validated track or backend output.",
  "source": {
    "reference": "PXL_20250916_132513979.TS",
    "window_seconds": [
      5,
      9
    ],
    "timestamp_origin": "Elapsed time in the local source recording; absolute capture date and location unverified.",
    "poster_source_seconds": 5,
    "display_dimensions": [
      540,
      960
    ]
  },
  "presentation": {
    "type": "Continuous source excerpt with editorial boxes",
    "duration_seconds": 4.0,
    "frames_per_second": 12,
    "full_frame": true,
    "audio": false
  },
  "method": {
    "geometry": "Coarse rectangular regions authored by visual inspection of displayed source frames.",
    "keyframe_spacing_seconds": 0.5,
    "interpolation": "Linear interpolation of rectangle edges between listed keyframes; no automated tracking or segmentation.",
    "coordinates": "Normalized xyxy in full displayed frame after applying source rotation; origin top left.",
    "timing": "Keyframes target elapsed source times. Source decoding and conversion to 12 fps introduce frame-sampling tolerance; source frame indices are not claimed.",
    "review": "Agent visual review only; requires project-specific human review before dataset use."
  },
  "selected_coverage": "One selected machine and a foreground log. Spectators, other equipment, gravel and building structure are not exhaustively annotated.",
  "physical_output": {
    "selected_annotations": [
      {
        "id": "tracked-machine",
        "label": "Tracked machine",
        "role": "object",
        "keyframes": [
          {
            "clip_time_seconds": 0.0,
            "box_xyxy_normalized": [
              0.237288,
              0.32619,
              0.75,
              0.588095
            ]
          },
          {
            "clip_time_seconds": 0.5,
            "box_xyxy_normalized": [
              0.326271,
              0.35,
              0.766949,
              0.6
            ]
          },
          {
            "clip_time_seconds": 1.0,
            "box_xyxy_normalized": [
              0.385593,
              0.335714,
              0.894068,
              0.6
            ]
          },
          {
            "clip_time_seconds": 1.5,
            "box_xyxy_normalized": [
              0.423729,
              0.404762,
              0.889831,
              0.642857
            ]
          },
          {
            "clip_time_seconds": 2.0,
            "box_xyxy_normalized": [
              0.326271,
              0.411905,
              0.779661,
              0.652381
            ]
          },
          {
            "clip_time_seconds": 2.5,
            "box_xyxy_normalized": [
              0.241525,
              0.404762,
              0.792373,
              0.654762
            ]
          },
          {
            "clip_time_seconds": 3.0,
            "box_xyxy_normalized": [
              0.190678,
              0.407143,
              0.699153,
              0.647619
            ]
          },
          {
            "clip_time_seconds": 3.5,
            "box_xyxy_normalized": [
              0.182203,
              0.395238,
              0.65678,
              0.654762
            ]
          },
          {
            "clip_time_seconds": 4.0,
            "box_xyxy_normalized": [
              0.139831,
              0.369048,
              0.70339,
              0.671429
            ]
          }
        ]
      },
      {
        "id": "foreground-log",
        "label": "Foreground log",
        "role": "scene feature",
        "keyframes": [
          {
            "clip_time_seconds": 0.0,
            "box_xyxy_normalized": [
              0.0,
              0.609524,
              1.0,
              0.771429
            ]
          },
          {
            "clip_time_seconds": 0.5,
            "box_xyxy_normalized": [
              0.0,
              0.607143,
              1.0,
              0.771429
            ]
          },
          {
            "clip_time_seconds": 1.0,
            "box_xyxy_normalized": [
              0.0,
              0.595238,
              1.0,
              0.764286
            ]
          },
          {
            "clip_time_seconds": 1.5,
            "box_xyxy_normalized": [
              0.0,
              0.597619,
              1.0,
              0.780952
            ]
          },
          {
            "clip_time_seconds": 2.0,
            "box_xyxy_normalized": [
              0.0,
              0.647619,
              1.0,
              0.821429
            ]
          },
          {
            "clip_time_seconds": 2.5,
            "box_xyxy_normalized": [
              0.0,
              0.688095,
              1.0,
              0.833333
            ]
          },
          {
            "clip_time_seconds": 3.0,
            "box_xyxy_normalized": [
              0.0,
              0.690476,
              1.0,
              0.835714
            ]
          },
          {
            "clip_time_seconds": 3.5,
            "box_xyxy_normalized": [
              0.0,
              0.690476,
              1.0,
              0.828571
            ]
          },
          {
            "clip_time_seconds": 4.0,
            "box_xyxy_normalized": [
              0.0,
              0.678571,
              1.0,
              0.838095
            ]
          }
        ]
      }
    ]
  },
  "situational_output": {
    "observed": [
      "A tracked machine changes position and orientation on gravel inside an indoor demonstration course.",
      "A foreground log and nearby spectators are visible."
    ],
    "unknown": [
      "Whether the machine is autonomous, remotely operated or otherwise controlled.",
      "Any emergency-response use or performance outside this demonstration."
    ]
  },
  "limitations": [
    "Editorial example of proposed project outputs; does not establish production schema support.",
    "Sparse sampled rectangles may be coarse between keyframes and do not measure precision, clearance, severity or identity.",
    "No segmentation masks, exhaustive labels or confirmed object identities."
  ]
}