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Ground truth description, ADAS and AD function validation. Road topology, dynamic objects and semantic scenarios
Traffic descriptions, CCTV-related events, trajectories, re-identification of subjects, action and behaviour recognition
Pixel-wise and polygonal description of images, sequences and volumes
Manufacturing, robotics, aerospace, traffic and smart city management, precise agriculture, etc
{"openlabel": {
"objects": {
"0": {"frame_intervals:
[(0,176),(200,1145)],
"name": "paola",
"object_data": {
"bbox": [{"name": "head",
"val": [10, 15, 30, 30]}],
"poly2d": [{"name": "shape",
"val":[23, 54, ...]}...}
Spatio-temporal description of entities of any class (e.g. “Person”, “Car”), including Polygons, Bounding Boxes, Points, Images, etc.
{"openlabel": {
"actions": {
"0": {"frame_intervals: [(0,176)],
"name": "coding_1",
"type": "#Coding",
"ontology_uid": 0},
"ontologies": {"0": "http://www.domain.org/ont/actions"}}
Temporal description of actions, with semantic content: “Overtaking”, “Pedestrian crossing”.
{"openlabel": {
"events": {
"0": {"frame_intervals: [(0,0)], "name": "coding_1",
"type": "#StartsTalking", "ontology_uid": 0},
"ontologies": {"0": "http://www.domain.org/ont/actions"}}
Point in time that triggers Actions or Contexts
{"openlabel": {
"context": {
"0": {"name": "sunny",
"type": "#Sunny",
"ontology_uid": 1}},
"ontologies":{"1": "http://www.domain.org/ont/concepts"}}
Atemporal description of contextual information of the scene: “Urban”, “DayTime”, “Raining”
{"openlabel": [...], {
"relations": {
"0": {"rdf_objects": [{
"type": "action", "uid":0}], "rdf_subjects": [{"type": "event", "uid": 0}], "type": "#Starts"}}}
Connection between Objects, Actions, Events and Contexts, using RDF triplets
Suzanne Little
Insight Center for Data Analytics
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Erwin Vermassen
ERTICO
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Joachim Kreikemeier
Valeo
The VCD language enables the handling of complex structures of metadata. This is key for multi-sensor solutions in the automotive sector and autonomous driving. Especially to manage the representation of semantic dependencies between objects in different environments.
Suzanne Little
Insight Center for Data Analytics
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Suzanne Little
Insight Center for Data Analytics
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum.Praesent ac sapien lobortis, rhoncus felis eu, tristique tellus. Integer molestie.
Suzanne Little
Insight Center for Data Analytics
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Comments, questions and requests are welcome :)
If you wish to use VCD, add our cite to your bibliography:
M. Nieto, O. Senderos, and O. Otaegui, “Boosting AI applications: Labeling format for complex datasets,” SoftwareX, 2021, p. 100653, vol. 13 (https://doi.org/10.1016/j.softx.2020.100653).
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