Datasets:
Formats:
imagefolder
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1K - 10K
License:
File size: 3,022 Bytes
755ec5a 6bc7030 755ec5a 06623a4 755ec5a 06623a4 755ec5a 6bc7030 6ce51ea 755ec5a 6746471 755ec5a 06623a4 755ec5a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 |
{
"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": "[email protected]",
"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"
}
}
|