tagging
tagging use case example
To describe a dataset with taggings:
sensor: camera (#camera1)
tagging
weather (vec): sunny, cloudy, rainy, snowy, foggy
timeofday (vec): daytime, night, DawnDusk
scene (vec): tunnel, residential, parkingLot, cityStreet, gasStations, highway
Inroom: boolean
imagesize: num
note: text (static info)
Example Code
{
"visionai": {
"contexts": {
"5019ccb4-14b8-443f-9382-664c553c88f0": {
"context_data": {
"text": [
{
"name": "note",
"val": "this is a note of static info"
}
]
},
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
},
{
"frame_start": 0,
"frame_end": 0
}
],
"name": "*tagging01",
"context_data_pointers": {
"note": {
"type": "text",
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
]
}
},
"type": "*tagging"
},
"5019ccb4-14b8-443f-9382-664c553c88f1": {
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
],
"name": "*tagging02",
"context_data_pointers": {
"weather": {
"type": "vec",
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
]
}
},
"type": "*tagging"
},
"5019ccb4-14b8-443f-9382-664c553c88f2": {
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
],
"name": "*tagging03",
"context_data_pointers": {
"timeofday": {
"type": "vec",
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
]
}
},
"type": "*tagging"
},
"5019ccb4-14b8-443f-9382-664c553c88f3": {
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
],
"name": "*tagging04",
"context_data_pointers": {
"scene": {
"type": "vec",
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
]
}
},
"type": "*tagging"
},
"5019ccb4-14b8-443f-9382-664c553c88f4": {
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
],
"name": "*tagging05",
"context_data_pointers": {
"Inroom": {
"type": "boolean",
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
]
}
},
"type": "*tagging"
},
"5019ccb4-14b8-443f-9382-664c553c88f5": {
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
],
"name": "*tagging06",
"context_data_pointers": {
"imagesize": {
"type": "num",
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
]
}
},
"type": "*tagging"
}
},
"frame_intervals": [
{
"frame_start": 0,
"frame_end": 0
}
],
"frames": {
"000000000000": {
"contexts": {
"5019ccb4-14b8-443f-9382-664c553c88f5": {
"context_data": {
"num": [
{
"name": "imagesize",
"val": 10870
}
]
}
},
"5019ccb4-14b8-443f-9382-664c553c88f4": {
"context_data": {
"boolean": [
{
"name": "Inroom",
"val": true
}
]
}
},
"5019ccb4-14b8-443f-9382-664c553c88f3": {
"context_data": {
"vec": [
{
"name": "scene",
"val": [
"cityStreet",
"parkingLot"
]
}
]
}
},
"5019ccb4-14b8-443f-9382-664c553c88f2": {
"context_data": {
"vec": [
{
"name": "timeofday",
"val": [
"DawnDusk"
]
}
]
}
},
"5019ccb4-14b8-443f-9382-664c553c88f1": {
"context_data": {
"vec": [
{
"name": "weather",
"val": [
"sunny"
]
}
]
}
}
},
"frame_properties": {
"streams": {
"camera1": {
"uri": "https://helenmlopsstorageqatest.blob.core.windows.net/vainewformat/kitti/kitti_small/data_project_tag_custom_new_structure/000000000000/data/camera1/000000000000.png"
}
}
}
}
},
"streams": {
"camera1": {
"type": "camera",
"uri": "https://helenmlopsstorageqatest.blob.core.windows.net/vainewformat/kitti/kitti_small/data_project_tag_custom_new_structure/000000000000/data/camera1/000000000000.png",
"description": "Frontal camera"
}
},
"metadata": {
"schema_version": "1.0.0"
}
}
}json
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