{
    "name": "Gilt_posture_dataset",
    "version": "1.0",
    "description": "A multimodal dataset for pig posture detection using synchronized RGB and depth images. Includes labels for five pig postures, real-world object height from the floor, and the metadata.",
    "contributors": [
      {
        "name": "Anil Bhujel",
        "email": "bhujelan@msu.edu",
        "affiliation": "Michigan State University",
        "role": "Research Associate"
      }
    ],
    "date_created": "2025-05-25",
    "license": "CC BY 4.0",
    "citation": {
      "title": "A Computer Vision dataset for Gilts' daily activity monitoring and tracking",
      "authors": ["Anil Bhujel", "Daniel Morris", "Janice Siegford", "Madonna Benjamin", "Mk Bashar"],
      "year": 2025,
      "doi": "To be assigned",
      "url": "yet to assigned"
    },
    "modalities": [
      {
        "type": "color",
        "description": "RGB images from a ceiling-mounted RGB-D camera.",
        "height": "2.4384 meter",
        "camera angle": "approx 40 deg",
        "resolution": "1920x1080",
        "frame rate": "30",
        "format": "PNG"
      },
      {
        "type": "depth",
        "description": "Depth images aligned with color, in millimeters.",
        "resolution": "640x576",
        "frame rate": "30",
        "format": "PNG"
      },
      {
        "type": "height_map",
        "description": "Object height from the floor estimated using a floor plane model."
      }
    ],
    "annotations": {
      "posture_labels": ["Feeding", "Lateral_lying", "Sitting", "Standing", "Sternal_lying"],
      "format": "Yolov11 .txt",
      "labeling": "Bounding box"
    },
    "data_split": {
      "train": 0.75,
      "val": 0.15,
      "test": 0.1,
      "criteria": "random"
    },
    "collection": {
      "sensor_setup": "Orbbec Femto Mega RGB-D cameras mounted at ~8Ft height, angled ~40°",
      "camera_parameters": "provided as orbbec_parameters.yaml file",
      "frame_rate": "30 FPS",
      "synchronization": "Synced with Orbbec sync hub pro",
      "depth_to_height_conversion": "Using calibrated floor plane model",
      "rfid_triggered": true,
      "date_of_recording": "01/08/2025",
      "recording_window": "07:00 to 14:00",
      "recording_duration": "Continuous"
    },
    "environment": {
      "pen_type": "MSU swine research center",
      "pen_size_meter": [4.8768, 2.4384],
      "pen_fence_height_meter": 0.825
      "floor_type": "Slatted wood",
      "lighting_conditions": "Artificial, stable intensity",
      "ventilation": "Mechanical ventilation with air flow"
    },
    "animals": {
      "breed": ["Purebred Yorkshire", "Exotic-crossbred", "Meishan"],
      "number_of_animals": "18 (9 per pen)",
      "age_range_weeks": 24,
      "expected_delivery_date": "03/08/2025",
      "tagging_method": "RFID and ear tags"
    },
    "download": {
      "url": "https://huggingface.co/datasets/anilbhujel/Gilt_posture_dataset",
      "file_format": "ZIP",
      "size": "6.7 GB"
    }
  }