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platform.json
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128 lines (128 loc) · 3.45 KB
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[
{
"title": "Sound Pressure Level Testing",
"creator": "Marija Ratković",
"date": "31/10/2025",
"icon": "https://github.com/ICAERUS-EU/OCT-RODENT/blob/main/testing_SPL/merenje.png",
"url": "https://github.com/ICAERUS-EU/ICAERUS-UC3-RODENT/tree/main/testing_SPL/",
"icaerus_applications": [
"livestock-monitoring"
],
"uses_cases": [
3
],
"extra": {
"key1": "",
"key2": ""
},
"filters": {
"content": [
"SPL",
"Sound Pressure Level"
],
"data-type": [
"Matrices"
],
"subject": [
"Rodents",
"Rats",
"Mice",
"Chinchilla"
],
"location": [
"Serbia"
]
}
},
{
"title": "Genetic Algorithm Drone Path Optimization",
"creator": "Vasilije Kovačević",
"date": "31/10/2025",
"icon": "https://github.com/ICAERUS-EU/OCT-RODENT/blob/main/drone-path-optimization/best_path_20x10.jpg",
"url": "https://github.com/ICAERUS-EU/ICAERUS-UC3-RODENT/tree/main/drone-path-optimization/",
"icaerus_applications": [
"livestock-monitoring"
],
"uses_cases": [
3
],
"extra": {
"key1": "",
"key2": ""
},
"filters": {
"content": [
"Genetic algorithms",
"Path optimization",
"Drone navigation",
"Search algorithm"
],
"data-type": [
"Matrices"
],
"subject": [
"Rodents",
"Small animals"
],
"location": [
"Serbia"
],
"model_input": [
"Grid coordinates",
"Rodent positions"
],
"model_output": [
"Optimal trajectory"
]
}
},
{
"title":" YOLO Infrared Rodent Detection",
"creator": "Matija Marijan",
"date": "31/10/2025",
"icon":"https://github.com/ICAERUS-EU/OCT-RODENT/blob/main/infrared-rodent-detection/thermal_model.jpg",
"url":"https://github.com/ICAERUS-EU/ICAERUS-UC3-RODENT/tree/main/infrared-rodent-detection/models",
"icaerus_applications": [
"livestock-monitoring"
],
"uses_cases":[
3
],
"extra":{
"key1":"",
"key2":""
},
"filters":{
"content": [
"Machine learning",
"Deep learning",
"Computer vision",
"Detection",
"Segmentation"
],
"data-type": [
"RGB images",
"RGB videos",
"Thermal images",
"IR images"
],
"subject": [
"Crop fields",
"Rodents",
"Small animals"
],
"location": [
"Serbia"
],
"model_input": [
"Infrared"
],
"model_output": [
"Bounding box",
"Mask",
"Class",
"Confidence score"
]
}
}
]