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add validated vehicle detection example #19

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237 changes: 237 additions & 0 deletions examples/vehicle_detection_example.json
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Original file line number Diff line number Diff line change
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{
"stac_version": "1.0.0",
"stac_extensions": [
"https://stac-extensions.github.io/label/v1.0.1/schema.json"
],
"id": "vehicle_detection_example_001",
"type": "Feature",
"bbox": [
-122.4194,
37.7749,
-122.4094,
37.7849
],
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-122.4194,
37.7749
],
[
-122.4194,
37.7849
],
[
-122.4094,
37.7849
],
[
-122.4094,
37.7749
],
[
-122.4194,
37.7749
]
]
]
},
"assets": {
"labels": {
"title": "Vehicle Detection Labels",
"href": "vehicle_detection_labels.geojson",
"type": "application/geo+json",
"roles": [
"labels",
"labels-vector"
]
},
"source_image": {
"title": "Source RGB Imagery",
"href": "aerial_image_001.tif",
"type": "image/tiff",
"roles": [
"data"
]
}
},
"properties": {
"datetime": "2024-03-15T14:30:00Z",
"license": "CC-BY-4.0",
"label:properties": [
"vehicle_type",
"confidence",
"vehicle_make",
"vehicle_color",
"occlusion_level"
],
"label:description": "Vehicle detection labels for aerial imagery containing cars, trucks, and buses with bounding boxes, including vehicle make, color, and occlusion metadata",
"label:tasks": [
"detection"
],
"label:type": "vector",
"label:methods": [
"manual"
],
"label:classes": [
{
"name": "vehicle_type",
"classes": [
"car",
"truck",
"bus",
"motorcycle"
]
},
{
"name": "confidence",
"classes": [
"high",
"medium",
"low"
]
},
{
"name": "vehicle_make",
"classes": [
"Toyota",
"Ford",
"BMW",
"Unknown"
]
},
{
"name": "vehicle_color",
"classes": [
"white",
"black",
"red",
"other"
]
},
{
"name": "occlusion_level",
"classes": [
"none",
"partial",
"heavy"
]
}
],
"label:overviews": [
{
"property_key": "vehicle_type",
"counts": [
{
"name": "car",
"count": 55
},
{
"name": "truck",
"count": 10
},
{
"name": "bus",
"count": 2
},
{
"name": "motorcycle",
"count": 1
}
]
},
{
"property_key": "confidence",
"counts": [
{
"name": "high",
"count": 58
},
{
"name": "medium",
"count": 8
},
{
"name": "low",
"count": 2
}
]
},
{
"property_key": "vehicle_make",
"counts": [
{
"name": "Toyota",
"count": 25
},
{
"name": "Ford",
"count": 18
},
{
"name": "BMW",
"count": 15
},
{
"name": "Unknown",
"count": 10
}
]
},
{
"property_key": "vehicle_color",
"counts": [
{
"name": "white",
"count": 28
},
{
"name": "black",
"count": 22
},
{
"name": "red",
"count": 12
},
{
"name": "other",
"count": 6
}
]
},
{
"property_key": "occlusion_level",
"counts": [
{
"name": "none",
"count": 50
},
{
"name": "partial",
"count": 16
},
{
"name": "heavy",
"count": 2
}
]
}
]
},
"links": [
{
"rel": "self",
"href": "./object_detection_example.json"
},
{
"rel": "source",
"href": "https://example.com/source/aerial_image_001.tif",
"title": "Source aerial imagery used for vehicle detection labeling",
"label:assets": [
"rgb"
]
}
]
}