Mobility and road vision · Video

Indian Traffic Video

An Indian road-video concept covering heterogeneous vehicles, rider safety, signals, lanes, congestion and adverse conditions.

Catalogue statusIllustrative custom specification
Reference volumeIllustrative 1,600-hour specification
Delivery modelScoped pilot → versioned production
Designed for

Mobility, road-safety and intelligent-transport teams building detection, tracking and traffic-understanding systems.

Every specification is adapted to the buyer's model, production environment, data rights and measurable acceptance criteria.

Primary use cases
  • Vehicle detection and tracking
  • Helmet and rider-safety analysis
  • Signal and lane-behaviour evaluation
  • Congestion and traffic-density estimation
  • Adverse-weather robustness testing
Annotation schema

Labels tied to model behaviour.

  • vehicle class and track ID
  • rider and helmet state
  • lane and road region
  • traffic signal state
  • event and behaviour tags
  • weather and lighting
  • camera and location metadata
Coverage design

Variation before volume.

  • Cars, buses, trucks, autos and two-wheelers
  • Urban junctions, highways and mixed roads
  • Day, night, rain, glare and haze
  • Dense traffic and partial occlusion
  • Fixed, dash-mounted and roadside views
Quality target

Target: ≥95% audited track and event acceptance on scoped classes

Targets are agreed during scoping and reported only after measurement on the applicable delivery.

Quality controls
  • Frame-level geometry audits
  • Track continuity and identity-switch checks
  • Temporal event validation
  • Class-confusion analysis
  • Scenario and weather coverage reporting
Delivery format

MOT/COCO-compatible annotations, MP4 and event JSONL

Buyer-specific schema and storage requirements can be incorporated before production.

Example file package
01videos/
02tracks/
03events.jsonl
04scene_metadata.csv
05dataset_card.md
06temporal_qa_report.pdf
Documentation included

Evidence travels with the files.

  • Collection-location and rights context
  • Class and event ontology
  • Temporal annotation guide
  • Scenario distribution and exclusions
  • Tracking-quality and event-quality report
Known limitations

What buyers should understand.

  • Location permissions and privacy treatment require project review
  • Licence-plate or face handling must be explicitly defined
  • Road behaviour labels should not be treated as legal judgments
Build from this pattern

Turn your requirement into a pilot.

Share the model objective, target environment, approximate volume and delivery constraints. We will respond with the questions needed to scope a credible dataset.

Request this dataset pattern