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Methodology

Detections

Each dataset uses one of two detection sources: oracle detections (ground-truth bounding boxes provided by the dataset) or model detections (produced by a YOLOX detector following the ByteTrack procedure). The source is noted per dataset on the Results page.

Tuning

Best parameters per tracker and dataset were found via grid search (SORT, ByteTrack, OC-SORT, BoT-SORT) or Optuna (n_trials=100, objective HOTA, trial 0 = defaults for C-BIoU), selecting the configuration with the highest HOTA on the tune split. McByte is not tuned here: defaults with mask-conditioned association enabled are reported, matching the McByte page (source: PR #513). Tuning and evaluation always use separate data splits to reflect real-world usage:

  • Train + validation + test: tune on validation, report on test.
  • Train + validation: tune on train, report on validation.
  • Train + test: tune on train, report on test.