WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps
Multi-object tracking (MOT) has achieved strong performance on benchmarks dominated by short video sequences. However, such datasets do not adequately evaluate long-term identity preservation, where objects must be tracked consistently over extended durations. We introduce WaspMOT, a benchmark designed to address this gap through long-duration tracking of Trichogramma wasps in controlled ecological experiments. The dataset contains 10 sequences of approximately 12,000 frames each (over 8 minutes at 25 FPS), with dense MOTChallenge annotations and oracle detections to isolate association perfor
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- PossiblePossibly related (embedding) · 48%polavieja_lab/idtrackerai →
- PossiblePossibly related (embedding) · 47%WildlifeDatasets/wildlife-datasets →
- LinkedLinked via arxiv author · 85%Tomasz Stanczyk →
“WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps”
- LinkedLinked via arxiv author · 85%Yuan Gao →
“WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps”
- LinkedLinked via arxiv author · 85%Hardik Agarwal →
“WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps”
- LinkedLinked via arxiv author · 85%Seongroo Yoon →
“WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps”
- LinkedLinked via arxiv author · 85%Tiantao Zhang →
“WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps”
- LinkedLinked via arxiv author · 85%Vincent Calcagno →
“WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps”